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T-Mobile US Inc. (NASDAQ:TMUS)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

T-Mobile US Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Turnover Ratios
Inventory turnover 11.53 15.91 14.70 13.63 13.20 18.10 15.47 18.45 16.36 22.27 19.48 17.99 18.08 23.32 19.63 19.22 16.91 16.93 13.90
Receivables turnover 18.72 17.57 18.60 18.12 16.89 18.28 18.83 19.04 18.67 17.33 18.46 16.74 17.41 17.11 18.11 17.90 18.52 17.96 20.04
Working capital turnover — — 51.03 — — 18.00 21.69 — 50.77 — — — — — — — — — —
Average No. Days
Average inventory processing period 32 23 25 27 28 20 24 20 22 16 19 20 20 16 19 19 22 22 26
Add: Average receivable collection period 19 21 20 20 22 20 19 19 20 21 20 22 21 21 20 20 20 20 18
Operating cycle 51 44 45 47 50 40 43 39 42 37 39 42 41 37 39 39 42 42 44

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).


The analysis of short-term activity ratios indicates a period of significant volatility in inventory management contrasted by high stability in receivables collection. The overall operational efficiency, as measured by the operating cycle, experienced a period of optimization followed by a steady decline in efficiency toward the end of the observed timeframe.

Inventory Management Efficiency
Inventory turnover exhibited a strong upward trend from March 2022 (13.90) to a peak in June 2023 (23.32), reflecting an increase in the velocity of stock movement. However, a subsequent downward trend emerged, with the ratio declining to 11.53 by September 2026. This trend is mirrored in the average inventory processing period, which reached a minimum of 16 days in June 2023 but expanded to 32 days by September 2026, indicating that inventory is held significantly longer than during the peak efficiency period.
Receivables Collection Performance
The receivables turnover ratio remained relatively constant, fluctuating within a narrow band between a low of 16.74 and a high of 20.04. Correspondingly, the average receivable collection period demonstrated remarkable stability, consistently ranging between 18 and 22 days. These figures suggest a disciplined and consistent approach to credit management and payment collection throughout the analyzed period.
Operating Cycle and Working Capital Utilization
The operating cycle was primarily driven by the volatility in inventory processing, as the collection period remained flat. The cycle shortened from 44 days in March 2022 to a low of 37 days in June 2023, before expanding to 51 days by September 2026. Working capital turnover displays extreme volatility where values are present, moving from 50.77 in September 2024 down to 18.00 in June 2025, before rebounding to 51.03 in June 2026, suggesting substantial shifts in the relationship between net working capital and revenue generation.

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Inventory Turnover

T-Mobile US Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Cost of revenues 8,451 8,033 8,827 10,272 7,726 7,376 7,400 8,785 7,029 6,752 7,087 8,400 7,135 7,004 7,649 8,671 8,694 9,168 9,673
Inventory 3,085 2,191 2,327 2,405 2,370 1,690 1,937 1,607 1,789 1,319 1,521 1,678 1,685 1,373 1,741 1,884 2,247 2,243 2,715
Short-term Activity Ratio
Inventory turnover1 11.53 15.91 14.70 13.63 13.20 18.10 15.47 18.45 16.36 22.27 19.48 17.99 18.08 23.32 19.63 19.22 16.91 16.93 13.90
Benchmarks
Inventory Turnover, Competitors2
AT&T Inc. 17.93 21.64 20.95 21.00 17.39 21.22 19.01 21.68 19.35 27.18 23.39 23.02 19.76 21.26 18.07 16.28 14.50 19.34 22.66
Verizon Communications Inc. — 27.79 24.73 23.25 20.67 26.06 24.71 24.08 21.31 29.31 26.13 26.68 24.76 29.87 24.48 24.76 18.63 15.71 15.61

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q3 2026 Calculation
Inventory turnover = (Cost of revenuesQ3 2026 + Cost of revenuesQ2 2026 + Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025) ÷ Inventory
= (8,451 + 8,033 + 8,827 + 10,272) ÷ 3,085 = 11.53

2 Click competitor name to see calculations.


The inventory turnover ratio exhibits significant volatility over the analyzed period, characterized by an initial phase of increasing efficiency followed by a progressive decline and a marked downturn in the final quarters. The ratio peaked in mid-2023 before trending downward, reflecting a change in the relationship between the cost of revenues and the average inventory held.

Inventory Turnover Performance
A strong upward trajectory is observed from March 31, 2022, when the turnover ratio stood at 13.90, reaching a peak of 23.32 by June 30, 2023. This indicates a period of high operational efficiency where inventory was cycled rapidly. However, following this peak, the ratio entered a period of instability, fluctuating between 13.20 and 22.27 throughout 2024 and 2025, before falling to its lowest point of 11.53 by September 30, 2026.
Cost of Revenues Patterns
The cost of revenues demonstrates a consistent seasonal pattern, typically peaking in the fourth quarter of each year. Notable spikes occurred in December 2023 (8,400 million), December 2024 (8,785 million), and most significantly in December 2025 (10,272 million). These cyclical increases align with typical industry demand surges during the year-end period.
Inventory Level Correlation
Inventory levels remained relatively stable or declined between 2022 and mid-2024, supporting the higher turnover ratios seen during that interval. A reversal occurred in 2025 and 2026, where inventory levels rose sharply, culminating in a peak of 3,085 million by September 30, 2026. The simultaneous increase in held inventory and the decrease in the turnover ratio suggest a buildup of unsold stock or a strategic shift in inventory buffering that has slowed the rate of inventory liquidation.
Operational Efficiency Insight
The convergence of rising inventory levels and a declining turnover ratio toward the end of the period suggests a decrease in short-term operating efficiency. The drop to 11.53 in September 2026 indicates that inventory is being turned over more slowly than at any other point in the analyzed timeframe, potentially increasing carrying costs and risk of obsolescence.

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Receivables Turnover

T-Mobile US Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Revenues 23,584 22,791 23,107 24,334 21,957 21,132 20,886 21,872 20,162 19,772 19,594 20,478 19,252 19,196 19,632 20,273 19,477 19,701 20,120
Accounts receivable, net of allowance for credit losses 5,012 5,247 4,866 4,874 5,084 4,598 4,392 4,276 4,286 4,563 4,253 4,692 4,500 4,592 4,366 4,445 4,324 4,466 4,016
Short-term Activity Ratio
Receivables turnover1 18.72 17.57 18.60 18.12 16.89 18.28 18.83 19.04 18.67 17.33 18.46 16.74 17.41 17.11 18.11 17.90 18.52 17.96 20.04
Benchmarks
Receivables Turnover, Competitors2
AT&T Inc. 16.12 14.93 15.18 14.21 13.93 14.02 13.32 12.69 13.46 12.62 12.77 11.90 13.59 13.05 11.86 10.53 11.45 12.33 8.98
Verizon Communications Inc. — 5.24 5.22 5.10 5.30 5.21 5.23 5.16 5.17 5.24 5.29 5.34 5.68 5.82 5.96 5.58 5.73 5.62 5.69

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q3 2026 Calculation
Receivables turnover = (RevenuesQ3 2026 + RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025) ÷ Accounts receivable, net of allowance for credit losses
= (23,584 + 22,791 + 23,107 + 24,334) ÷ 5,012 = 18.72

2 Click competitor name to see calculations.


The financial performance between March 31, 2022, and September 30, 2026, is characterized by steady revenue growth and a relatively stable, though fluctuating, receivables turnover ratio. Total revenues increased from 20,120 million USD in the first quarter of 2022 to 23,584 million USD by the third quarter of 2026, reflecting a consistent upward trajectory in top-line activity, with a notable peak of 24,334 million USD in December 2025.

Revenue and Receivables Dynamics
Net accounts receivable grew from 4,016 million USD to 5,012 million USD over the analyzed period. While the balance of receivables increased, the growth was largely proportional to the expansion in revenue. This alignment suggests that the credit extension policies have scaled in tandem with the company's growth in sales volume.
Receivables Turnover Ratio Analysis
The receivables turnover ratio exhibited a period of gradual decline from a high of 20.04 in March 2022 to a low of 16.74 by December 2023. This downward trend indicates a slight reduction in the velocity of collections during the initial two years. However, a recovery phase followed, with the ratio stabilizing and fluctuating between 17.33 and 19.04 from March 2024 through September 2026, concluding at 18.72.
Collection Efficiency and Operational Insights
The consistency of the turnover ratio, remaining primarily within the 17.0 to 19.0 range, indicates a disciplined approach to managing short-term operating assets. The ability to maintain these levels despite increasing total revenues suggests that the efficiency of the credit and collection cycle has remained robust. The volatility observed in 2024 and 2025 reflects short-term variances in the timing of payments relative to quarterly revenue recognition rather than a systemic failure in credit management.

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Working Capital Turnover

T-Mobile US Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Current assets 21,842 21,769 22,118 24,461 21,703 26,772 27,441 18,404 22,531 19,297 19,295 19,015 18,669 20,237 18,876 19,067 21,427 17,476 17,455
Less: Current liabilities 23,991 23,554 20,344 24,500 24,301 22,102 23,629 20,174 20,955 23,038 20,563 20,928 21,711 24,569 23,846 24,742 26,362 20,622 21,423
Working capital (2,149) (1,785) 1,774 (39) (2,598) 4,670 3,812 (1,770) 1,576 (3,741) (1,268) (1,913) (3,042) (4,332) (4,970) (5,675) (4,935) (3,146) (3,968)
 
Revenues 23,584 22,791 23,107 24,334 21,957 21,132 20,886 21,872 20,162 19,772 19,594 20,478 19,252 19,196 19,632 20,273 19,477 19,701 20,120
Short-term Activity Ratio
Working capital turnover1 — — 51.03 — — 18.00 21.69 — 50.77 — — — — — — — — — —
Benchmarks
Working Capital Turnover, Competitors2
AT&T Inc. — — — — 177.07 — — — — — — — — — — — — — —
Verizon Communications Inc. — — — — — — — — — — — — — — — — — — —

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q3 2026 Calculation
Working capital turnover = (RevenuesQ3 2026 + RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025) ÷ Working capital
= (23,584 + 22,791 + 23,107 + 24,334) ÷ -2,149 = —

2 Click competitor name to see calculations.


The financial data reveals a period of consistent revenue expansion coupled with significant volatility in working capital management. While top-line growth remains steady, the short-term liquidity position fluctuates between negative and positive territory, which directly impacts the stability and applicability of the working capital turnover ratio.

Revenue Performance
A general upward trajectory in quarterly revenues is observed, increasing from 20.12 billion USD in March 2022 to 23.58 billion USD by September 2026. This growth indicates a sustained expansion in operational scale and market activity over the analyzed period.
Working Capital Dynamics
Working capital remained predominantly negative for the majority of the timeline, reaching a peak deficit of 5.67 billion USD in December 2022. A shift toward positive working capital is noted in sporadic intervals, specifically in September 2024, March 2025, June 2025, and March 2026. The frequent oscillation between negative and positive balances suggests a highly dynamic relationship between current assets and current liabilities.
Working Capital Turnover Analysis
The working capital turnover ratio exhibits extreme variance and is only calculated during periods of positive working capital. High ratios of 50.77 in September 2024 and 51.03 in June 2026 indicate periods where revenue generation was exceptionally high relative to the net current assets employed. A downward trend in the ratio occurred between June 2025 (21.69) and September 2025 (18.00) as the working capital base shifted. The absence of turnover values for most quarters is a direct result of the negative working capital positions, which renders the standard turnover metric non-representative of operating efficiency.

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Average Inventory Processing Period

T-Mobile US Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Inventory turnover 11.53 15.91 14.70 13.63 13.20 18.10 15.47 18.45 16.36 22.27 19.48 17.99 18.08 23.32 19.63 19.22 16.91 16.93 13.90
Short-term Activity Ratio (no. days)
Average inventory processing period1 32 23 25 27 28 20 24 20 22 16 19 20 20 16 19 19 22 22 26
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
AT&T Inc. 20 17 17 17 21 17 19 17 19 13 16 16 18 17 20 22 25 19 16
Verizon Communications Inc. — 13 15 16 18 14 15 15 17 12 14 14 15 12 15 15 20 23 23

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 11.53 = 32

2 Click competitor name to see calculations.


The average inventory processing period exhibits a cyclical pattern characterized by an initial phase of efficiency gains followed by a period of volatility and a subsequent long-term increase in the duration of inventory holding. A consistent inverse correlation is maintained between the inventory turnover ratio and the average processing period throughout the entire period analyzed.

Phase of Efficiency Improvement (March 2022 – June 2023)
A significant reduction in the average inventory processing period is observed, decreasing from 26 days in March 2022 to a low of 16 days by June 2023. This trend is mirrored by a steady increase in the inventory turnover ratio, which peaked at 23.32 during the same quarter, indicating a period of optimized inventory management and accelerated asset conversion.
Operational Volatility (September 2023 – June 2024)
The inventory processing period entered a phase of instability, oscillating between 16 and 22 days. Despite a brief return to the 16-day efficiency peak in June 2024, the corresponding turnover ratios showed frequent fluctuations, suggesting inconsistent throughput and variability in inventory liquidation speeds.
Expansion of Processing Cycle (September 2024 – September 2026)
A sustained upward trend in the average inventory processing period is evident from the latter half of 2024 through September 2026. The processing duration rose from 22 days to a period maximum of 32 days. This extension of the cycle is accompanied by a decline in the inventory turnover ratio, which reached its lowest point of 11.53 in September 2026, signaling a reduction in operational efficiency and a slower rate of inventory turnover.

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Average Receivable Collection Period

T-Mobile US Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Receivables turnover 18.72 17.57 18.60 18.12 16.89 18.28 18.83 19.04 18.67 17.33 18.46 16.74 17.41 17.11 18.11 17.90 18.52 17.96 20.04
Short-term Activity Ratio (no. days)
Average receivable collection period1 19 21 20 20 22 20 19 19 20 21 20 22 21 21 20 20 20 20 18
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
AT&T Inc. 23 24 24 26 26 26 27 29 27 29 29 31 27 28 31 35 32 30 41
Verizon Communications Inc. — 70 70 72 69 70 70 71 71 70 69 68 64 63 61 65 64 65 64

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 18.72 = 19

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a high degree of consistency in the management of accounts receivable. Throughout the observed period, the company has maintained an efficient collection cycle, with minimal variance in the time required to convert receivables into cash.

Receivables Turnover Ratio
The turnover ratio exhibits stability, primarily fluctuating between 16.74 and 20.04. A moderate decline was observed through 2023, reaching a low of 16.74 in December. This was followed by a recovery phase in 2024, where the ratio climbed back to a peak of 19.04 by December. Subsequent periods show continued fluctuations within the 17 to 18 range, suggesting a steady rate of credit recovery relative to revenue generation.
Average Receivable Collection Period
The collection period remains tightly controlled, oscillating within a narrow band of 18 to 22 days. The shortest collection cycles were recorded in March 2022 and late 2024, while the longest periods occurred in December 2023 and September 2025, both peaking at 22 days. The absence of a sustained upward trend in the collection period indicates a disciplined credit policy and predictable payment patterns from the customer base.
Operational Efficiency and Correlation
A consistent inverse correlation is maintained between the turnover ratio and the collection period. Periodic increases in the collection period to 21 or 22 days correspond directly with dips in the turnover ratio below 17.5. The overall stability of these metrics suggests that the company is effectively managing its working capital and preventing the accumulation of overdue accounts, thereby maintaining steady liquidity from operating activities.

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Operating Cycle

T-Mobile US Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Sep 30, 2026 Jun 30, 2026 Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Average inventory processing period 32 23 25 27 28 20 24 20 22 16 19 20 20 16 19 19 22 22 26
Average receivable collection period 19 21 20 20 22 20 19 19 20 21 20 22 21 21 20 20 20 20 18
Short-term Activity Ratio
Operating cycle1 51 44 45 47 50 40 43 39 42 37 39 42 41 37 39 39 42 42 44
Benchmarks
Operating Cycle, Competitors2
AT&T Inc. 43 41 41 43 47 43 46 46 46 42 45 47 45 45 51 57 57 49 57
Verizon Communications Inc. — 83 85 88 87 84 85 86 88 82 83 82 79 75 76 80 84 88 87

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 32 + 19 = 51

2 Click competitor name to see calculations.


The operating cycle exhibits moderate volatility over the analyzed period, characterized by a mid-term contraction followed by a gradual expansion. The overall duration of the cycle is primarily driven by fluctuations in inventory management, as the collection of receivables remains remarkably stable.

Average Inventory Processing Period
A downward trend is observed from March 2022 to June 2023, with the period decreasing from 26 days to a low of 16 days. Following this improvement, the metric remains relatively stable between 16 and 22 days through late 2024. However, a significant upward trend emerges starting in early 2025, with the processing period extending to 32 days by September 2026, indicating a slowing of inventory turnover in the latter part of the period.
Average Receivable Collection Period
The collection period demonstrates high consistency, fluctuating within a narrow range of 18 to 22 days across the entire timeline. This stability suggests a highly disciplined and predictable credit collection process, with no significant deviations in the time required to convert receivables into cash.
Operating Cycle
The total operating cycle mirrors the behavior of the inventory processing period, starting at 44 days and reaching a minimum of 37 days in June 2022 and June 2023. The cycle expands toward the end of the period, peaking at 51 days in September 2026. Because the receivable collection period is static, the overall increase in the operating cycle is attributable exclusively to the increased duration of inventory processing.

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