Stock Analysis on Net

Starbucks Corp. (NASDAQ:SBUX)

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
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
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle
Less: Average payables payment period
Cash conversion cycle

Based on: 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).


Operational activity ratios indicate a period of volatility in inventory management between 2020 and 2022, followed by a marked improvement in efficiency and a contraction of the cash conversion cycle through 2024. Overall, the operating flow demonstrates a transition toward a leaner model with faster asset turnover and optimized liquidity management.

Inventory Management Efficiency
Inventory turnover exhibited a downward trend in 2022, reaching a low of 10.97, which corresponded with a peak average inventory processing period of 33 days. This trend reversed sharply in 2023, with turnover peaking at 16.09 and the processing period dropping to a minimum of 23 days by December 2023. For the period spanning 2024 through March 2026, inventory turnover stabilized within a range of 12.40 to 14.89, reflecting a more consistent inventory throughput than observed in the 2022 period.
Receivables and Collection Performance
Receivables turnover remained consistently high and stable, fluctuating between 26.09 and 32.90. The average receivable collection period showed minimal variance, staying between 11 and 14 days throughout the entire analyzed period. This stability suggests a highly efficient credit management system and a rapid conversion of receivables into cash.
Payables and Obligations Management
Payables turnover remained relatively steady, generally fluctuating between 14.25 and 18.13. The average payables payment period showed a gradual increase starting in late 2024 and peaking at 26 days in early 2025, indicating a strategic extension of payment terms to suppliers. However, this period contracted back to 20 days by March 2026, returning to historical norms.
Operating and Cash Conversion Cycles
The operating cycle peaked at 46 days in mid-2022 before contracting to a low of 35 days in late 2023. This efficiency gain in the operating cycle drove a significant reduction in the cash conversion cycle, which fell from a peak of 24 days in 2022 to 13 days by December 2024. By March 2026, the cash conversion cycle settled at 18 days, indicating an overall improvement in the speed of cash recovery from operational investments compared to the 2020-2022 baseline.

Turnover Ratios


Average No. Days


Inventory Turnover

Starbucks Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
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
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Chipotle Mexican Grill Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Inventory turnover = (Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025 + Cost of revenuesQ3 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of operating activity indicates a consistent long-term increase in the cost of revenues, alongside cyclical fluctuations in inventory levels and turnover efficiency. The overall trajectory suggests an expansion in operational scale, though inventory management effectiveness has varied significantly across the observed periods.

Cost of Revenues Trends
A steady upward trend in the cost of revenues is observed, rising from approximately 4.9 billion US dollars in December 2020 to 7.6 billion US dollars by March 2026. This growth is largely linear, reflecting an increase in the volume of goods sold and overall operating expenditures over the five-year period.
Inventory Level Volatility
Inventory levels exhibited significant fluctuations. A period of relative stability was maintained between December 2020 and January 2022, with values ranging from 1.47 billion to 1.64 billion US dollars. A sharp increase occurred throughout 2022, peaking at 2.18 billion US dollars in October 2022. Subsequently, a contraction phase took place, bringing inventories down to a period low of 1.65 billion US dollars by December 2023, before rising again to stabilize around 2.1 billion US dollars in 2025 and 2026.
Inventory Turnover Performance
The inventory turnover ratio demonstrates an inverse correlation with inventory levels. The ratio declined to its lowest point of 10.97 in July and October 2022, coinciding with the peak in inventory holdings, which suggests a temporary decrease in inventory efficiency. Conversely, a peak in turnover efficiency was recorded in December 2023, reaching a ratio of 16.09, which aligned with the lowest inventory levels of that cycle. From 2024 through early 2026, the turnover ratio normalized, fluctuating between 12.40 and 15.44.
Operating Efficiency Synthesis
The data indicates that while the scale of operations has grown, inventory management has undergone distinct phases of accumulation and lean optimization. The surge in turnover in late 2023 suggests a period of aggressive inventory clearance or highly efficient supply chain synchronization, whereas the 2022 dip indicates a period of overstocking relative to the cost of revenues generated.

Receivables Turnover

Starbucks Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
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
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Airbnb Inc.
Booking Holdings Inc.
Chipotle Mexican Grill Inc.
DoorDash, Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Receivables turnover = (Net revenuesQ2 2026 + Net revenuesQ1 2026 + Net revenuesQ4 2025 + Net revenuesQ3 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data reveals a consistent correlation between the growth of net revenues and the increase in net accounts receivable, while the receivables turnover ratio remains remarkably stable over the analyzed period. Net revenues expanded from 6.75 billion US dollars in December 2020 to 9.53 billion US dollars by March 2026, with a peak reaching 9.92 billion US dollars in September 2025. Concurrently, net accounts receivable rose from 888 million US dollars to 1.29 billion US dollars, indicating that the growth in credit-based sales or licensed partner receivables has scaled proportionally with overall revenue expansion.

Receivables Turnover Trends
The receivables turnover ratio exhibited a general upward trajectory in the first half of the period, rising from a low of 26.09 in December 2020 to a peak of 32.90 in December 2023. Following this peak, the ratio entered a phase of stabilization, fluctuating within a narrow band between 29.11 and 31.48 through March 2026. This stability suggests a disciplined approach to credit management and a consistent collection cycle despite significant increases in the absolute volume of receivables.
Operational Efficiency and Collection Velocity
The sustained high turnover values, consistently remaining above 26.00, indicate a highly efficient conversion of receivables into cash. The minimal variance in the ratio over several years suggests that the company's credit terms and collection policies are standardized and effectively managed. Even during periods of revenue volatility, such as the dip observed in March 2024, the turnover ratio remained resilient, signifying that the quality of receivables remained high and collection velocity was not adversely impacted.
Revenue and Receivable Correlation
The relationship between net revenue growth and the balance of accounts receivable demonstrates a linear progression. As revenues climbed by approximately 41% from the start to the end of the period, receivables increased by approximately 45%. The narrow range of the turnover ratio confirms that the company has avoided an accumulation of stagnant or delinquent accounts, maintaining a healthy liquidity position regarding its short-term operating assets.

Payables Turnover

Starbucks Corp., payables turnover calculation (quarterly data)

Microsoft Excel
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
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Booking Holdings Inc.
Chipotle Mexican Grill Inc.
DoorDash, Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Payables turnover = (Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025 + Cost of revenuesQ3 2025) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of the short-term operating activity reveals a consistent upward trajectory in both the cost of revenues and accounts payable over the observed period. Cost of revenues increased from approximately 4.92 billion US dollars in December 2020 to 7.62 billion US dollars by March 2026. Simultaneously, accounts payable grew from 1.05 billion US dollars to 1.67 billion US dollars, reflecting an overall expansion in operational scale and corresponding supplier obligations.

Payables Turnover Stability (2020–2023)
Between December 2020 and December 2023, the payables turnover ratio remained relatively stable, generally fluctuating between 16.5 and 18.1. This consistency suggests a disciplined approach to managing supplier payments and a steady relationship between the volume of purchases and the timing of cash outflows.
Operational Slowdown and Efficiency Dip (2024–2025)
A notable decline in turnover efficiency is observed starting in December 2024, where the ratio dropped to 15.04, reaching a period low of 14.25 in March 2025. This downward trend indicates an increase in the average time taken to settle obligations with suppliers, potentially reflecting a strategic effort to preserve cash or a shift in credit terms provided by vendors during this window.
Recovery and Normalization (2025–2026)
Following the low point in early 2025, a strong recovery phase is evident. The payables turnover ratio climbed steadily from 14.83 in June 2025 to 18.01 by March 2026. This return to higher turnover rates suggests a restoration of previous payment velocities and a more aggressive settlement of outstanding payables toward the end of the analyzed period.

The overall correlation between the rising cost of revenues and the fluctuating turnover ratio indicates that while the volume of business increased, the efficiency of the payables cycle experienced a period of volatility before returning to historical norms. The peak turnover of 18.13 in December 2023 and the final value of 18.01 in March 2026 demonstrate a capacity to maintain high liquidity throughput despite the significant increase in the absolute value of accounts payable.


Working Capital Turnover

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

Microsoft Excel
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
Less: Current liabilities
Working capital
 
Net revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Airbnb Inc.
Booking Holdings Inc.
Chipotle Mexican Grill Inc.
DoorDash, Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Working capital turnover = (Net revenuesQ2 2026 + Net revenuesQ1 2026 + Net revenuesQ4 2025 + Net revenuesQ3 2025) ÷ Working capital
= ( + + + ) ÷ =

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 alongside a consistent growth trajectory in net revenues from late 2020 through early 2026.

Working Capital Trends
The working capital position transitioned from a positive status in 2020 and 2021 to a predominantly negative status starting in January 2022. After peaking at 1.6 billion USD in October 2021, the figure declined sharply, remaining negative for the majority of the subsequent period. The deficit reached its most pronounced level in March 2025 at negative 3.7 billion USD. A brief return to a positive position occurred in December 2025 at 536 million USD, before reverting to a negative 890.2 million USD by March 2026.
Net Revenue Performance
Net revenues exhibited a steady upward trend over the analyzed period. Revenues grew from 6.7 billion USD in December 2020 to a peak of 9.9 billion USD in September 2025. While minor quarterly fluctuations occurred, the overall trajectory indicates a sustained increase in top-line growth, regardless of the volatility observed in the working capital figures.
Working Capital Turnover Interpretation
The working capital turnover ratio shows extreme volatility and intermittency due to the fluctuating sign of the working capital base. High turnover values were observed in June 2021, reaching 205.59, indicating a very small positive working capital relative to high revenue. For the period between January 2022 and September 2025, the ratio is not applicable or not reported, coinciding with the period of negative working capital. A turnover ratio of 70.34 reappeared in December 2025, corresponding with the temporary shift back to a positive working capital balance.

The combination of increasing revenues and a sustained negative working capital position suggests an operational model that relies heavily on negative working capital to fund growth, likely driven by efficient inventory management and a reliance on accounts payable to finance current assets.


Average Inventory Processing Period

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

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Chipotle Mexican Grill Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


An analysis of short-term operating activity reveals a fluctuating yet generally stable inventory management cycle between December 2020 and March 2026. A consistent inverse correlation is observed between the inventory turnover ratio and the average inventory processing period, reflecting the efficiency with which stock is converted into sales.

Initial Stability and Marginal Improvement (December 2020 – January 2022)
During this period, inventory turnover remained relatively consistent, fluctuating between 12.25 and 13.24. The average inventory processing period mirrored this stability, maintaining a narrow range between 28 and 30 days, indicating a steady operational cadence.
Period of Operational Deceleration (April 2022 – October 2022)
A downturn in inventory efficiency occurred mid-2022, characterized by a decline in turnover to a low of 10.97. This resulted in a corresponding increase in the average inventory processing period, which peaked at 33 days, marking the slowest movement of inventory within the observed timeframe.
Phase of Rapid Optimization (January 2023 – December 2023)
A significant improvement in supply chain efficiency is evident throughout 2023. Inventory turnover accelerated sharply, reaching a peak of 16.09 by December 2023. This acceleration drove the average inventory processing period down to its minimum of 23 days, representing the highest level of short-term operational efficiency in the data set.
Normalization and Current Trend (March 2024 – March 2026)
Following the peak efficiency of late 2023, the processing period entered a phase of normalization. The number of days required to process inventory fluctuated between 24 and 29 days, while turnover ratios stabilized between 12.40 and 15.44. The most recent readings indicate a sustained processing period of approximately 26 days, suggesting a return to a balanced operating baseline.

Average Receivable Collection Period

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

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Airbnb Inc.
Booking Holdings Inc.
Chipotle Mexican Grill Inc.
DoorDash, Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a highly efficient and stable receivables management process over the period from December 2020 to March 2026. The consistency in the collection cycle suggests a disciplined approach to credit management and a business model characterized by rapid payment realization.

Receivables Turnover Trends
The receivables turnover ratio exhibits moderate fluctuations, generally oscillating between 26.09 and 32.90. A gradual upward trend was observed from December 2020, reaching a peak of 32.90 in December 2023. Following this peak, the ratio experienced slight volatility but remained elevated, concluding the period at 29.85 in March 2026. These high turnover figures indicate that receivables are converted into cash rapidly and consistently throughout the fiscal years.
Average Receivable Collection Period
The average collection period demonstrates remarkable stability, remaining within a narrow range of 11 to 14 days. The duration decreased from 14 days in December 2020 to a minimum of 11 days during the first half of 2024. By March 2026, the collection period settled at 12 days. This narrow variance reflects a highly predictable cash inflow from credit sales and minimal exposure to extended credit risk.
Operational Correlation
An inverse correlation exists between the receivables turnover ratio and the average collection period. The periods of highest turnover, particularly around December 2023 and early 2024, correspond directly with the shortest collection durations of 11 to 12 days. This relationship underscores a sustained level of operational efficiency in managing short-term credit assets.

Operating Cycle

Starbucks Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Chipotle Mexican Grill Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits a pattern of moderate fluctuation over the analyzed period, characterized by a peak in mid-2022 followed by a period of optimization and eventual stabilization. The overall cycle duration remains relatively short, reflecting the high-velocity nature of the retail coffee business model.

Average Inventory Processing Period
Inventory management shows the highest degree of volatility among the operating components. The processing period began at 29 days, peaked at 33 days between July and October 2022, and subsequently improved to a low of 23 days by December 2023. Following this trough, the period stabilized between 24 and 29 days through March 2026, indicating a general return to baseline efficiency after a period of temporary expansion.
Average Receivable Collection Period
The collection period demonstrates exceptional stability, maintaining a tight range between 11 and 14 days throughout the entire timeframe. This minimal variance suggests a highly consistent revenue collection process, likely driven by a predominance of immediate payment transactions characteristic of point-of-sale retail operations.
Operating Cycle
The total operating cycle closely mirrors the movements of the inventory processing period, as the receivable collection period remains nearly constant. The cycle lengthened from 43 days in late 2020 to a maximum of 46 days in mid-2022, before contracting to a minimum of 35 days in late 2023 and early 2024. The cycle concluded the period at 38 days, representing a net reduction in the time required to convert inventory and receivables into cash compared to the start of the analyzed period.

Analysis indicates that the primary driver of changes in the operating cycle is the efficiency of inventory turnover. The correlation between inventory processing and the total operating cycle is nearly absolute, while the receivable collection process remains a negligible source of variance.


Average Payables Payment Period

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

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Booking Holdings Inc.
Chipotle Mexican Grill Inc.
DoorDash, Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a period of relative stability in the management of accounts payable, characterized by a temporary expansion of the payment cycle during the 2024-2025 period, followed by a return to historical norms by early 2026.

Payables Turnover Trends
Between December 2020 and December 2023, the payables turnover ratio remained consistently within a range of 15.70 to 18.13, suggesting a disciplined and predictable cadence in settling obligations with suppliers. A notable decline occurred starting in late 2024, with the ratio reaching its lowest point of 14.25 on March 30, 2025. This downward movement indicates a slowdown in the frequency with which payables were cleared. However, a recovery trend emerged in the latter half of 2025, with the ratio climbing back to 18.01 by March 29, 2026, returning the turnover rate to levels seen at the start of the analyzed period.
Average Payables Payment Period Analysis
The average payables payment period mirrors the turnover trends, maintaining a tight corridor between 20 and 23 days for the majority of the timeline. An upward shift in the payment duration is observed starting December 29, 2024, peaking at 26 days on March 30, 2025. This increase suggests a strategic or operational extension of credit terms during this window, effectively increasing the company's short-term liquidity by delaying cash outflows. This trend reversed starting in September 2025, with the payment period contracting back to 20 days by March 29, 2026.
Operational Insights
The inverse correlation between the turnover ratio and the payment period remains constant throughout the data set. The transient peak in payment days during early 2025 represents the only significant deviation from an otherwise stable operational baseline. The subsequent return to a 20-day payment cycle suggests that the factors driving the temporary extension of payables were short-term in nature and that the entity has since restored its previous payment efficiency.

Cash Conversion Cycle

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

No. days

Microsoft Excel
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
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
Chipotle Mexican Grill Inc.
McDonald’s Corp.

Based on: 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 Q2 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The operational efficiency of the working capital cycle demonstrates a general trend of improvement, characterized by a reduction in the cash conversion cycle from 2020 through early 2025, followed by a slight increase toward the end of the observed period.

Average Inventory Processing Period
Inventory turnover efficiency exhibited notable volatility. After maintaining a range of 28 to 30 days in 2020 and 2021, the period peaked at 33 days during the third and fourth quarters of 2022. A significant improvement followed, with the period reaching a low of 23 days by December 2023. From 2024 through 2026, the metric stabilized between 24 and 29 days, indicating a return to historical norms after a period of optimization.
Average Receivable Collection Period
The collection of receivables remained exceptionally stable throughout the entire timeframe. The period fluctuated minimally between 11 and 14 days, suggesting a highly consistent and efficient credit-to-cash process. The lack of significant variance indicates that the company's revenue realization is not a primary driver of changes in the overall cash conversion cycle.
Average Payables Payment Period
Payment terms to suppliers remained relatively steady, generally oscillating between 20 and 22 days. A noticeable extension occurred between December 2024 and September 2025, where the period reached its peak of 26 days. This extension of payables served to conserve cash on hand. However, by early 2026, the period contracted back to 20 days, aligning with earlier historical averages.
Cash Conversion Cycle (CCC)
The overall cash conversion cycle peaked at 24 days in late 2022 and early 2023. A sustained downward trend was observed thereafter, with the CCC reaching its most efficient point of 13 days between December 2024 and March 2025. This improvement was primarily driven by the synchronization of faster inventory processing and extended payment terms. Toward the end of the period, the CCC experienced a gradual increase, ending at 18 days by March 2026, as payables were paid more quickly and inventory processing periods slightly expanded.