Stock Analysis on Net
Stock Analysis on Net

Analysis of Short-term (Operating) Activity Ratios 
Quarterly Data

Microsoft Excel

Short-term Activity Ratios (Summary)

Starbucks Corp., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Turnover Ratios
Inventory turnover 13.53 13.97 13.93 13.14 12.40 13.32 15.44 14.89 14.25 15.15 16.09 14.46 12.95 12.54 11.70 10.97 10.97 11.79 13.24 12.89 12.64 12.25 12.45
Receivables turnover 29.40 29.85 30.92 29.11 29.53 31.48 29.12 29.80 31.83 32.90 31.49 30.38 30.71 28.67 28.30 27.44 27.91 31.27 29.45 30.92 29.76 27.09 26.09
Payables turnover 16.81 18.01 17.50 15.50 14.83 14.25 15.04 16.59 16.66 17.76 18.13 16.92 17.11 17.49 18.12 16.57 15.70 17.03 16.81 17.06 17.36 17.82 17.44
Working capital turnover 70.34 18.11 205.59 50.26 48.92
Average No. Days
Average inventory processing period 27 26 26 28 29 27 24 25 26 24 23 25 28 29 31 33 33 31 28 28 29 30 29
Add: Average receivable collection period 12 12 12 13 12 12 13 12 11 11 12 12 12 13 13 13 13 12 12 12 12 13 14
Operating cycle 39 38 38 41 41 39 37 37 37 35 35 37 40 42 44 46 46 43 40 40 41 43 43
Less: Average payables payment period 22 20 21 24 25 26 24 22 22 21 20 22 21 21 20 22 23 21 22 21 21 20 21
Cash conversion cycle 17 18 17 17 16 13 13 15 15 14 15 15 19 21 24 24 23 22 18 19 20 23 22

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).


The analysis of short-term operating activity indicates a general improvement in operational efficiency over the observed period, characterized by faster inventory throughput and a compressed cash conversion cycle. While there were periods of volatility, particularly between 2021 and 2022, the overall trend suggests an optimization of working capital management.

Inventory Management
Inventory turnover exhibited a positive trend, rising from 12.45 in December 2020 to a peak of 16.09 in October 2023. This improvement is reflected in the average inventory processing period, which declined from 29 days at the start of the period to a low of 23 days by October 2023. Toward the end of the analyzed timeframe, the turnover ratio stabilized between 13.53 and 13.97, with the processing period settling around 26 to 27 days.
Receivables Management
Receivables turnover remained relatively stable and strong, consistently ranging between 26.09 and 32.90. The average receivable collection period demonstrated minimal fluctuation, staying within a tight window of 11 to 14 days throughout the entire period. This indicates a highly efficient and consistent credit collection process.
Payables Management
Payables turnover showed a slight downward trajectory, moving from 17.44 in December 2020 to a low of 14.25 in March 2025. Correspondingly, the average payables payment period extended from 20-21 days to a peak of 26 days in March 2025. This trend suggests a strategic shift toward extending payment terms with suppliers to preserve liquidity.
Operating and Cash Conversion Cycles
The operating cycle peaked at 46 days in mid-2022 before contracting to 35 days by late 2023, eventually stabilizing around 38 to 39 days. The cash conversion cycle showed a marked improvement, decreasing from 22 days in December 2020 to a low of 13 days in December 2024. By the end of the period in June 2026, the cycle settled at 17 days, representing a significant reduction in the time required to convert resource inputs into cash flows.

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Turnover Ratios


Average No. Days



Inventory Turnover

Starbucks Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in thousands)
Cost of revenues 7,026,000 7,617,100 7,825,900 7,406,500 7,300,300 6,913,600 7,096,700 6,692,200 6,570,000 6,372,800 6,832,100 6,654,400 6,561,800 6,437,700 6,475,500 6,255,700 5,916,100 5,780,500 5,926,900 5,764,600 5,172,900 4,815,700 4,916,400
Inventories 2,208,900 2,157,800 2,114,400 2,185,600 2,259,200 2,047,300 1,731,600 1,777,300 1,854,700 1,744,000 1,646,300 1,806,400 1,987,000 2,000,600 2,088,100 2,176,600 2,132,900 1,920,000 1,637,100 1,603,900 1,548,200 1,503,600 1,471,500
Short-term Activity Ratio
Inventory turnover1 13.53 13.97 13.93 13.14 12.40 13.32 15.44 14.89 14.25 15.15 16.09 14.46 12.95 12.54 11.70 10.97 10.97 11.79 13.24 12.89 12.64 12.25 12.45
Benchmarks
Inventory Turnover, Competitors2
Chipotle Mexican Grill Inc. 204.70 179.76 188.55 212.10 204.36 169.51 161.15 218.61 197.22 185.34 175.86 191.68 194.58 184.27 191.96 214.37 203.97
McDonald’s Corp. 138.39 135.56 147.04 148.42 159.98 148.84 156.14 180.84 181.22 155.76 168.52 146.30 142.62 141.94 175.32 183.32 165.10

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Inventory turnover = (Cost of revenuesQ3 2026 + Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025) ÷ Inventories
= (7,026,000 + 7,617,100 + 7,825,900 + 7,406,500) ÷ 2,208,900 = 13.53

2 Click competitor name to see calculations.


The analysis of inventory management from December 2020 through June 2026 reveals a dynamic relationship between the cost of revenues and inventory levels, resulting in fluctuating turnover efficiency over the period.

Cost of Revenues Trends
A consistent long-term upward trajectory is observed in the cost of revenues, which rose from 4.92 billion USD in December 2020 to 7.03 billion USD by June 2026. This general increase indicates an expansion in operational volume or an escalation in the costs of goods sold, with a notable peak reaching 7.83 billion USD in December 2025.
Inventory Level Fluctuations
Inventory levels exhibited two distinct cycles of accumulation. The first phase of growth peaked in October 2022 at approximately 2.18 billion USD. This was followed by a period of inventory reduction that reached a trough of 1.65 billion USD in December 2023. A second accumulation phase occurred throughout 2024 and early 2025, peaking at 2.26 billion USD in June 2025 before stabilizing at 2.21 billion USD by the end of the analyzed period.
Inventory Turnover Performance
The inventory turnover ratio experienced significant volatility across three distinct phases. From December 2020 to January 2022, the ratio remained relatively stable between 12.25 and 13.24. A decline followed in 2022, with the ratio dropping to a low of 10.97 in July and October 2022, directly correlating with the first peak in inventory levels. A subsequent surge in efficiency occurred throughout 2023, culminating in a period high of 16.09 in December 2023. In the final phase from 2024 to 2026, the ratio stabilized, fluctuating between 12.40 and 15.44.

The data indicates a strong inverse correlation between inventory stockpiling and turnover velocity. The period of highest efficiency in late 2023 suggests a lean inventory strategy or highly optimized supply chain throughput relative to the cost of revenues. Conversely, the dips in turnover observed in 2022 and mid-2025 highlight periods where inventory growth outpaced the growth in the cost of revenues, suggesting temporary surpluses in stock levels.

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Receivables Turnover

Starbucks Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in thousands)
Net revenues 9,322,700 9,531,500 9,915,100 9,569,000 9,456,000 8,761,600 9,397,800 9,074,000 9,113,900 8,563,000 9,425,300 9,373,600 9,168,300 8,719,800 8,713,900 8,414,200 8,150,100 7,635,600 8,050,400 8,146,700 7,496,500 6,668,000 6,749,400
Accounts receivable, net 1,304,200 1,288,900 1,219,200 1,277,500 1,242,600 1,154,700 1,241,500 1,213,800 1,146,000 1,110,300 1,165,100 1,184,100 1,140,200 1,185,800 1,162,900 1,175,500 1,146,100 1,001,900 1,031,100 940,000 911,200 880,200 888,000
Short-term Activity Ratio
Receivables turnover1 29.40 29.85 30.92 29.11 29.53 31.48 29.12 29.80 31.83 32.90 31.49 30.38 30.71 28.67 28.30 27.44 27.91 31.27 29.45 30.92 29.76 27.09 26.09
Benchmarks
Receivables Turnover, Competitors2
Airbnb Inc. 66.21 65.81 66.35 62.26 64.55 75.52 61.94 60.03 58.52 48.38 46.60 41.69 47.07 52.17 53.27 43.30 53.74
Booking Holdings Inc. 7.87 7.05 6.49 5.73 7.32 7.42 6.32 5.87 6.68 6.57 5.98 6.90 8.87 7.67 7.01 6.51 7.77
Chipotle Mexican Grill Inc. 127.86 76.22 122.99 110.26 113.07 78.59 117.86 109.32 113.59 85.44 134.08 152.24 136.37 80.79 118.06 97.41 87.64
DoorDash, Inc. 14.24 12.38 14.13 14.16 14.37 14.65 16.32 16.43 16.69 16.20 19.54 20.07 18.75 16.46 18.66 16.30 16.41
McDonald’s Corp. 4.06 3.93 3.67 3.75 4.00 4.10 4.04 4.10 4.41 3.92 4.22 4.12 4.18 4.14 4.80 5.20 5.93

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Receivables turnover = (Net revenuesQ3 2026 + Net revenuesQ2 2026 + Net revenuesQ1 2026 + Net revenuesQ4 2025) ÷ Accounts receivable, net
= (9,322,700 + 9,531,500 + 9,915,100 + 9,569,000) ÷ 1,304,200 = 29.40

2 Click competitor name to see calculations.


Analysis of the operational cycle indicates a consistent upward trajectory in both net revenues and net accounts receivable from December 2020 through June 2026. Net revenues expanded from approximately 6.75 billion US dollars to a peak of 9.92 billion US dollars in September 2025, before stabilizing around 9.32 billion US dollars. Concurrently, net accounts receivable rose from 888 million US dollars to 1.30 billion US dollars over the same period, reflecting a proportional increase in credit extended as business volume expanded.

Receivables Turnover Efficiency
The receivables turnover ratio exhibited a general upward trend during the first three years of the observed period, rising from 26.09 in December 2020 to a peak of 32.90 in December 2023. This acceleration indicates an improvement in the efficiency of converting receivables into cash, suggesting optimized credit controls or accelerated payment cycles from partners.
Ratio Stabilization and Volatility
Following the peak in late 2023, the turnover ratio entered a phase of relative stabilization. Between March 2024 and June 2026, the ratio fluctuated within a narrow band between 29.11 and 31.48. This suggests that an operational equilibrium has been reached where the growth of receivables is closely aligned with revenue generation.
Correlation Between Revenue and Collection
Despite the increase in the absolute value of net accounts receivable, the turnover ratio remained consistently high, never falling below 26.0. This demonstrates a sustained ability to manage short-term credit risk. The alignment between revenue growth and receivable growth indicates that the increase in outstanding balances is a result of scaled operations rather than a deterioration in collection efficiency.

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Payables Turnover

Starbucks Corp., payables turnover calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in thousands)
Cost of revenues 7,026,000 7,617,100 7,825,900 7,406,500 7,300,300 6,913,600 7,096,700 6,692,200 6,570,000 6,372,800 6,832,100 6,654,400 6,561,800 6,437,700 6,475,500 6,255,700 5,916,100 5,780,500 5,926,900 5,764,600 5,172,900 4,815,700 4,916,400
Accounts payable 1,777,200 1,674,300 1,682,200 1,852,800 1,888,200 1,913,800 1,777,700 1,595,500 1,586,300 1,487,400 1,460,700 1,544,300 1,503,500 1,434,000 1,348,200 1,441,400 1,489,800 1,329,500 1,289,400 1,211,600 1,127,000 1,033,600 1,050,600
Short-term Activity Ratio
Payables turnover1 16.81 18.01 17.50 15.50 14.83 14.25 15.04 16.59 16.66 17.76 18.13 16.92 17.11 17.49 18.12 16.57 15.70 17.03 16.81 17.06 17.36 17.82 17.44
Benchmarks
Payables Turnover, Competitors2
Booking Holdings Inc. 6.70 5.28 6.47 5.85 7.32 6.21 5.67 5.70 6.73 6.14 6.83 9.11 8.52 6.82 7.52 6.54 8.32
Chipotle Mexican Grill Inc. 36.99 41.82 33.65 39.61 38.90 39.38 36.30 38.20 38.02 36.86 34.04 42.59 36.87 35.61 38.60 39.82 36.05
DoorDash, Inc. 26.98 16.97 24.34 17.23 17.36 17.26 27.84 31.29 23.89 21.25 29.36 23.98 18.72 22.85 13.48 13.83 12.50
McDonald’s Corp. 7.74 7.20 8.32 9.74 9.25 8.10 8.93 8.77 8.91 7.46 9.30 9.50 9.05 7.53 9.57 10.74 11.40

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Payables turnover = (Cost of revenuesQ3 2026 + Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025) ÷ Accounts payable
= (7,026,000 + 7,617,100 + 7,825,900 + 7,406,500) ÷ 1,777,200 = 16.81

2 Click competitor name to see calculations.


The payables turnover ratio exhibits a cyclical pattern characterized by an initial period of stability, a significant mid-term decline, and a subsequent recovery toward baseline levels.

Growth in Cost of Revenues and Obligations
A consistent upward trajectory in the cost of revenues is observed, increasing from $4.9 billion in December 2020 to a peak of $7.8 billion in September 2025. During the same period, accounts payable grew from $1.05 billion to a peak of $1.91 billion in March 2025. This indicates a general scaling of operational costs and a corresponding increase in short-term liabilities.
Analysis of Turnover Decline
From December 2020 through January 2023, the payables turnover ratio remained relatively stable, generally fluctuating between 15.70 and 18.12. A notable downward trend followed, with the ratio contracting to a low of 14.25 by March 2025. This decline suggests that accounts payable grew at a faster rate than the cost of revenues, implying a strategic extension of payment terms to suppliers or a slower settlement of obligations to preserve working capital.
Recovery and Stabilization Phase
Following the March 2025 minimum, a recovery phase is evident as the ratio climbed back to 18.01 by March 2026. This increase signals a return to more rapid payment cycles or a reduction in the reliance on supplier credit. By June 2026, the ratio stabilized at 16.81, returning the company to a turnover efficiency level similar to that observed in the 2020-2021 period.

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Working Capital Turnover

Starbucks Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data (US$ in thousands)
Current assets 7,534,200 10,559,200 12,022,600 7,382,300 8,421,500 6,713,700 7,284,700 6,847,400 6,807,900 6,465,000 6,569,500 7,303,400 7,170,700 7,046,200 6,934,900 7,018,700 7,067,500 7,541,100 7,255,100 9,756,400 7,931,700 6,979,500 8,357,500
Less: Current liabilities 9,916,900 11,449,400 11,486,600 10,210,400 11,142,300 10,429,300 9,725,300 9,070,000 7,649,500 7,528,900 9,395,600 9,345,300 9,214,600 9,121,800 9,246,200 9,151,800 8,402,400 9,104,300 8,921,100 8,151,400 7,799,800 6,505,100 7,883,900
Working capital (2,382,700) (890,200) 536,000 (2,828,100) (2,720,800) (3,715,600) (2,440,600) (2,222,600) (841,600) (1,063,900) (2,826,100) (2,041,900) (2,043,900) (2,075,600) (2,311,300) (2,133,100) (1,334,900) (1,563,200) (1,666,000) 1,605,000 131,900 474,400 473,600
 
Net revenues 9,322,700 9,531,500 9,915,100 9,569,000 9,456,000 8,761,600 9,397,800 9,074,000 9,113,900 8,563,000 9,425,300 9,373,600 9,168,300 8,719,800 8,713,900 8,414,200 8,150,100 7,635,600 8,050,400 8,146,700 7,496,500 6,668,000 6,749,400
Short-term Activity Ratio
Working capital turnover1 70.34 18.11 205.59 50.26 48.92
Benchmarks
Working Capital Turnover, Competitors2
Airbnb Inc. 1.75 2.38 2.17 2.65 2.46 1.58 1.55 1.64 1.64 1.51 1.25 1.41 1.31 1.22 1.17 1.13 1.10
Booking Holdings Inc. 24.65 4.84 4.79 5.41 6.77 4.90 5.99 7.26 6.04 5.77 3.65 2.82 2.77 2.33 4.14 3.16 2.32
Chipotle Mexican Grill Inc. 42.77 18.90 15.71 20.15 18.49 17.10 14.35 15.74 16.73 16.40 16.17 24.45 34.00 32.42 37.95 29.78
DoorDash, Inc. 5.74 5.50 2.36 2.36 3.43 3.64 3.81 3.71 3.82 3.95 3.78 4.09 3.70 3.03 2.45 2.01 1.98
McDonald’s Corp. 17.54 7.33 13.15 13.25 33.38 8.64 3.33 7.11 3.99 5.39 4.03 6.64 23.54

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Working capital turnover = (Net revenuesQ3 2026 + Net revenuesQ2 2026 + Net revenuesQ1 2026 + Net revenuesQ4 2025) ÷ Working capital
= (9,322,700 + 9,531,500 + 9,915,100 + 9,569,000) ÷ -2,382,700 =

2 Click competitor name to see calculations.


An analysis of the short-term operating activity reveals a significant structural shift in the management of working capital relative to revenue growth. While net revenues exhibited a consistent upward trajectory over the analyzed period, working capital transitioned from a positive position to a sustained negative state, indicating a strategic reliance on current liabilities to fund operations.

Working Capital Trends
Working capital remained positive through the fourth quarter of 2021, peaking at approximately 1.6 billion US dollars in October 2021. However, starting in January 2022, the company entered a prolonged period of negative working capital. This deficit deepened significantly over time, reaching a low of approximately negative 3.7 billion US dollars by March 2025. A brief return to a positive position occurred in December 2025 at 536 million US dollars, before returning to a negative trend in 2026. This pattern suggests a business model characterized by high efficiency in payables management or a significant volume of deferred revenue, such as gift card liabilities, which exceed current assets.
Net Revenue Performance
Net revenues demonstrated steady growth, rising from 6.7 billion US dollars in December 2020 to a peak of 9.9 billion US dollars in December 2025. Despite minor quarterly fluctuations, the general trend indicates a robust expansion of the top line. The ability to grow revenues while maintaining negative working capital suggests that the operational scale is increasing without requiring a proportional increase in liquid current assets.
Working Capital Turnover Interpretation
The working capital turnover ratio shows extreme volatility and intermittent availability. In the early stages where working capital was positive, the ratio fluctuated sharply, peaking at 205.59 in June 2021 before dropping to 18.11 in October 2021. For the majority of the period between January 2022 and September 2025, the ratio is not applicable due to the negative working capital balance. The reappearance of a ratio of 70.34 in December 2025 coincides with the temporary shift back to positive working capital. The absence of a traditional turnover ratio for several years underscores a financing strategy where the company effectively operates using supplier-provided credit and customer advances rather than invested working capital.

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Average Inventory Processing Period

Starbucks Corp., average inventory processing period calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data
Inventory turnover 13.53 13.97 13.93 13.14 12.40 13.32 15.44 14.89 14.25 15.15 16.09 14.46 12.95 12.54 11.70 10.97 10.97 11.79 13.24 12.89 12.64 12.25 12.45
Short-term Activity Ratio (no. days)
Average inventory processing period1 27 26 26 28 29 27 24 25 26 24 23 25 28 29 31 33 33 31 28 28 29 30 29
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Chipotle Mexican Grill Inc. 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
McDonald’s Corp. 3 3 2 2 2 2 2 2 2 2 2 2 3 3 2 2 2

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 13.53 = 27

2 Click competitor name to see calculations.


An analysis of the short-term operating activity ratios reveals a cyclical pattern in inventory management efficiency from late 2020 through mid-2026. The data indicates a period of relative stability, followed by a notable decline in velocity during 2022, a sharp optimization phase throughout 2023, and a eventual return to baseline levels in the subsequent years.

Inventory Turnover Trends
The inventory turnover ratio exhibited moderate stability between December 2020 and January 2022, fluctuating within a narrow range of 12.25 to 13.24. A downward trend occurred throughout 2022, reaching a low of 10.97 in the third and fourth quarters. This was followed by a significant acceleration in 2023, where the ratio peaked at 16.09 by December 31, 2023. From 2024 through June 2026, the turnover ratio normalized, maintaining a range between 12.40 and 15.44.
Average Inventory Processing Period
The duration required to process inventory demonstrates an inverse relationship with the turnover ratio. The processing period remained consistent at 28 to 30 days until early 2022, when it lengthened to a peak of 33 days by July 2022, indicating a slowdown in inventory movement. A rapid improvement in efficiency was recorded during 2023, with the processing period descending to its lowest point of 23 days by December 2023. The period then stabilized, fluctuating between 24 and 29 days from 2024 through June 2026.
Operational Efficiency Correlation
The correlation between the turnover ratio and the processing period highlights a significant operational shift during the 2022-2023 window. The expansion of the processing period to 33 days in mid-2022 suggests a period of inventory accumulation or supply chain friction. The subsequent reduction to 23 days by the end of 2023 represents the highest level of operational efficiency observed in the analyzed timeframe. The subsequent convergence toward a 26-27 day processing period in 2026 suggests a return to a sustainable long-term operating equilibrium.

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Average Receivable Collection Period

Starbucks Corp., average receivable collection period calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data
Receivables turnover 29.40 29.85 30.92 29.11 29.53 31.48 29.12 29.80 31.83 32.90 31.49 30.38 30.71 28.67 28.30 27.44 27.91 31.27 29.45 30.92 29.76 27.09 26.09
Short-term Activity Ratio (no. days)
Average receivable collection period1 12 12 12 13 12 12 13 12 11 11 12 12 12 13 13 13 13 12 12 12 12 13 14
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Airbnb Inc. 6 6 6 6 6 5 6 6 6 8 8 9 8 7 7 8 7
Booking Holdings Inc. 46 52 56 64 50 49 58 62 55 56 61 53 41 48 52 56 47
Chipotle Mexican Grill Inc. 3 5 3 3 3 5 3 3 3 4 3 2 3 5 3 4 4
DoorDash, Inc. 26 29 26 26 25 25 22 22 22 23 19 18 19 22 20 22 22
McDonald’s Corp. 90 93 99 97 91 89 90 89 83 93 87 89 87 88 76 70 62

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 29.40 = 12

2 Click competitor name to see calculations.


The organization demonstrates a high level of efficiency in managing its accounts receivable, characterized by rapid turnover and a consistently short collection cycle throughout the analyzed period.

Receivables Turnover
A general upward trajectory is observed in the turnover ratio, which rose from 26.09 in December 2020 to a peak of 32.90 by December 31, 2023. Following this peak, the ratio exhibits stabilization, fluctuating within a narrow range between 29.11 and 31.83 through June 2026. This sustained high turnover indicates a consistent and effective capacity to convert receivables into cash.
Average Receivable Collection Period
The collection period remains remarkably stable, operating within a tight window of 11 to 14 days. An initial improvement is noted from 14 days in December 2020 to 12 days by June 2021. The period of maximum efficiency occurred between December 2023 and March 2024, where the collection cycle reached a minimum of 11 days. In the subsequent quarters leading to June 2026, the period fluctuates minimally between 12 and 13 days.
Operational Liquidity Trend
The inverse correlation between the turnover ratio and the collection period remains constant, reflecting a disciplined credit management strategy. The absence of significant volatility or prolonged increases in the collection timeframe suggests an effective credit policy and a low risk of bad debt, ensuring a steady flow of operating liquidity.

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Operating Cycle

Starbucks Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data
Average inventory processing period 27 26 26 28 29 27 24 25 26 24 23 25 28 29 31 33 33 31 28 28 29 30 29
Average receivable collection period 12 12 12 13 12 12 13 12 11 11 12 12 12 13 13 13 13 12 12 12 12 13 14
Short-term Activity Ratio
Operating cycle1 39 38 38 41 41 39 37 37 37 35 35 37 40 42 44 46 46 43 40 40 41 43 43
Benchmarks
Operating Cycle, Competitors2
Chipotle Mexican Grill Inc. 5 7 5 5 5 7 5 5 5 6 5 4 5 7 5 6 6
McDonald’s Corp. 93 96 101 99 93 91 92 91 85 95 89 91 90 91 78 72 64

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 27 + 12 = 39

2 Click competitor name to see calculations.


The operating cycle exhibits a period of fluctuation between December 2020 and June 2026, characterized by an overall range of 35 to 46 days. The duration of the cycle is primarily driven by variations in inventory management, while the collection of receivables remains remarkably stable over the entire timeframe.

Average Inventory Processing Period
Inventory turnover efficiency showed moderate volatility, starting at 29 days in late 2020 and reaching a peak of 33 days during the third and fourth quarters of 2022. A significant improvement in efficiency occurred throughout 2023, with the period declining to a low of 23 days by December 2023. From 2024 through mid-2026, the processing period stabilized within a narrow band of 24 to 29 days, suggesting a return to normalized inventory levels after the 2022 peak.
Average Receivable Collection Period
The collection period demonstrates high consistency and efficiency, maintaining a tight range between 11 and 14 days. A slight downward trend was observed from the initial 14 days in December 2020 to 12 days by June 2026. This stability indicates a highly predictable cash inflow from credit sales and effective credit management policies that are largely unaffected by broader operating fluctuations.
Operating Cycle Dynamics
The total operating cycle mirrors the trends of the inventory processing period due to the static nature of the receivable collection period. The cycle peaked at 46 days in the latter half of 2022, coinciding with the slowest inventory turnover. The most efficient operational phase was recorded between December 2023 and March 2024, where the cycle compressed to 35 days. As of June 2026, the operating cycle stands at 39 days, representing a moderate recovery from the 2023 lows but remaining more efficient than the 2020-2022 averages.

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Average Payables Payment Period

Starbucks Corp., average payables payment period calculation (quarterly data)

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data
Payables turnover 16.81 18.01 17.50 15.50 14.83 14.25 15.04 16.59 16.66 17.76 18.13 16.92 17.11 17.49 18.12 16.57 15.70 17.03 16.81 17.06 17.36 17.82 17.44
Short-term Activity Ratio (no. days)
Average payables payment period1 22 20 21 24 25 26 24 22 22 21 20 22 21 21 20 22 23 21 22 21 21 20 21
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Booking Holdings Inc. 54 69 56 62 50 59 64 64 54 59 53 40 43 54 49 56 44
Chipotle Mexican Grill Inc. 10 9 11 9 9 9 10 10 10 10 11 9 10 10 9 9 10
DoorDash, Inc. 14 22 15 21 21 21 13 12 15 17 12 15 19 16 27 26 29
McDonald’s Corp. 47 51 44 37 39 45 41 42 41 49 39 38 40 48 38 34 32

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 16.81 = 22

2 Click competitor name to see calculations.


The analysis of short-term activity ratios reveals a period of relative stability followed by a temporary extension in payment cycles, before returning to historical norms. The relationship between payables turnover and the average payables payment period demonstrates a consistent inverse correlation throughout the observed timeframe.

Payables Turnover Trends
Between December 2020 and December 2023, the payables turnover ratio remained remarkably stable, generally fluctuating between 16.5 and 18.1. A notable decline occurred starting in late 2024, reaching a minimum of 14.25 by March 30, 2025. This downward trend indicates a slower rate of clearing accounts payable relative to purchases. Following this trough, the ratio recovered steadily, returning to 16.81 by June 28, 2026, suggesting a restoration of previous efficiency levels in supplier payments.
Average Payables Payment Period Analysis
The average payment period remained tight and consistent for the first three years of the sequence, oscillating between 20 and 23 days. A shift in liquidity management or supplier terms is evident in the period between December 29, 2024, and September 28, 2025, during which the payment period extended to a peak of 26 days in March 2025. This extension represents a temporary increase in the time taken to settle obligations with vendors. By the end of the analyzed period in June 2026, the payment period reverted to 22 days, aligning with the long-term average.
Operational Implications
The temporary increase in the payment period to 26 days suggests a strategic or situational decision to preserve cash flow during the first quarter of 2025. However, the rapid return to a 20-22 day cycle indicates that the company did not permanently shift its credit terms and maintained a strong ability to meet short-term obligations. The overall stability of these metrics suggests a disciplined approach to working capital management and consistent relationships with the supply chain.

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Cash Conversion Cycle

Starbucks Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Oct 1, 2023 Jul 2, 2023 Apr 2, 2023 Jan 1, 2023 Oct 2, 2022 Jul 3, 2022 Apr 3, 2022 Jan 2, 2022 Oct 3, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020
Selected Financial Data
Average inventory processing period 27 26 26 28 29 27 24 25 26 24 23 25 28 29 31 33 33 31 28 28 29 30 29
Average receivable collection period 12 12 12 13 12 12 13 12 11 11 12 12 12 13 13 13 13 12 12 12 12 13 14
Average payables payment period 22 20 21 24 25 26 24 22 22 21 20 22 21 21 20 22 23 21 22 21 21 20 21
Short-term Activity Ratio
Cash conversion cycle1 17 18 17 17 16 13 13 15 15 14 15 15 19 21 24 24 23 22 18 19 20 23 22
Benchmarks
Cash Conversion Cycle, Competitors2
Chipotle Mexican Grill Inc. -5 -2 -6 -4 -4 -2 -5 -5 -5 -4 -6 -5 -5 -3 -4 -3 -4
McDonald’s Corp. 46 45 57 62 54 46 51 49 44 46 50 53 50 43 40 38 32

Based on: 10-Q (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-K (reporting date: 2025-09-28), 10-Q (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-K (reporting date: 2024-09-29), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-K (reporting date: 2023-10-01), 10-Q (reporting date: 2023-07-02), 10-Q (reporting date: 2023-04-02), 10-Q (reporting date: 2023-01-01), 10-K (reporting date: 2022-10-02), 10-Q (reporting date: 2022-07-03), 10-Q (reporting date: 2022-04-03), 10-Q (reporting date: 2022-01-02), 10-K (reporting date: 2021-10-03), 10-Q (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27).

1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 27 + 1222 = 17

2 Click competitor name to see calculations.


The analysis of the short-term operating activity ratios reveals an overall improvement in the efficiency of the cash conversion process over the observed period. The cash conversion cycle exhibits a general downward trend, decreasing from a peak of 24 days in late 2022 and early 2023 to a minimum of 13 days by the end of 2024. This reduction indicates a more streamlined transition from the expenditure for inventory to the collection of cash from sales.

Average Inventory Processing Period
Inventory turnover shows moderate volatility, peaking at 33 days between July and October 2022. A subsequent period of optimization occurred throughout 2023, with the processing period reaching a low of 23 days by December 2023. While there is a slight uptick toward 27 days by mid-2026, the overall trend suggests a focused effort to reduce the time goods remain in stock.
Average Receivable Collection Period
The collection period remains exceptionally stable throughout the entire timeframe, fluctuating narrowly between 11 and 14 days. This consistency indicates a highly predictable revenue collection model with minimal variance, reflecting the immediate nature of the primary sales transactions.
Average Payables Payment Period
Payment terms for suppliers have remained relatively consistent, generally ranging between 20 and 22 days. A notable extension of the payment period is observed between March and September 2025, where the duration peaked at 26 days. This strategic extension contributed to the reduction of the overall cash conversion cycle by delaying cash outflows.
Cash Conversion Cycle Synthesis
The most significant contraction in the cash conversion cycle occurred between October 2023 and March 2025, during which the cycle dropped from 15 days to 13 days. This efficiency gain was driven by the convergence of reduced inventory holding times and an extended payables payment period. Although the cycle marginally increased to 17-18 days by mid-2026, the operational efficiency remains superior to the levels recorded in 2020 and 2022.

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