Analysis of Short-term (Operating) Activity Ratios
Quarterly Data
Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
T-Mobile US Inc., short-term (operating) activity ratios (quarterly data)
Based on: 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 operating activity analysis indicates a period of volatility in inventory management contrasted by highly stable receivables collection. The overall operating cycle shows a general trend of efficiency through 2024, followed by a moderate expansion in the duration required to convert assets into cash during 2025 and 2026.
- Inventory Management
- Inventory turnover exhibited significant fluctuation, peaking at 23.32 in June 2023 before trending downward to 15.91 by June 2026. This trend is mirrored in the average inventory processing period, which reached its highest efficiency of 16 days in June 2023 and June 2024, but subsequently lengthened to a peak of 28 days in September 2025. This suggests a recent decrease in the speed of inventory liquidation.
- Receivables Management
- The receivables turnover remained remarkably consistent, generally fluctuating between 16.74 and 20.04. The average receivable collection period demonstrated minimal variance, staying within a narrow range of 18 to 22 days throughout the entire period. This indicates a disciplined and predictable credit collection process.
- Operating Cycle
- The operating cycle, driven primarily by changes in inventory processing rather than receivables, fluctuated between a low of 37 days and a high of 50 days. A period of optimal efficiency was observed between March 2022 and June 2024, where the cycle frequently dipped below 40 days. However, a lengthening of the cycle is evident from September 2025 onwards, peaking at 50 days, which correlates directly with the slower inventory turnover during that timeframe.
- Working Capital Turnover
- Available data for working capital turnover is intermittent and shows extreme variance, with values shifting from 50.77 in September 2024 to 18.00 in June 2025, before returning to 51.03 in June 2026. This instability suggests significant quarterly shifts in the composition of current assets and liabilities relative to revenue generation.
In summary, while the collection of receivables remains a stable component of the operational flow, the overall efficiency of the operating cycle has been negatively impacted by a slowing of inventory turnover in the most recent periods.
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Turnover Ratios
Average No. Days
Inventory Turnover
T-Mobile US Inc., inventory turnover calculation (quarterly data)
| 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 | 8,033) | 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 | 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 | 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. | 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: 2026-06-30), 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 Q2 2026 Calculation
Inventory turnover
= (Cost of revenuesQ2 2026
+ Cost of revenuesQ1 2026
+ Cost of revenuesQ4 2025
+ Cost of revenuesQ3 2025)
÷ Inventory
= (8,033 + 8,827 + 10,272 + 7,726)
÷ 2,191 = 15.91
2 Click competitor name to see calculations.
The inventory turnover ratio exhibits significant volatility over the analyzed period, transitioning through a phase of substantial efficiency gains followed by a period of relative deceleration and stabilization.
- Inventory Turnover Ratio Trends
- A period of rapid improvement in inventory efficiency is observed from March 2022 through June 2023, with the turnover ratio climbing from 13.90 to a peak of 23.32. This suggests a highly aggressive movement of stock during this window. Following this peak, the ratio entered a phase of instability, fluctuating between 13.20 and 22.27. A notable decline occurred throughout 2025, reaching a low of 13.20 in September 2025, before showing a gradual recovery toward 15.91 by June 2026.
- Inventory Level Dynamics
- Inventory levels showed a consistent downward trend in the first half of the observed period, decreasing from 2,715 million USD in March 2022 to a low of 1,319 million USD by June 2024. This reduction in held assets contributed directly to the spike in turnover ratios. However, a reversal in this trend is evident starting in late 2024 and continuing through 2025, as inventory levels climbed back toward 2,405 million USD by December 2025, indicating a shift toward higher stock buffering.
- Cost of Revenues Correlation
- Cost of revenues displays a recurring seasonal pattern, with significant spikes every December. The most pronounced increase occurred in December 2025, reaching 10,272 million USD. While turnover ratios typically benefit from higher costs of revenues, the simultaneous increase in inventory levels during 2025 moderated the impact, preventing the turnover ratio from returning to the heights seen in 2023.
Overall, the data indicates a transition from a lean inventory strategy peaking in mid-2023 to a more conservative positioning by 2025 and 2026. While the efficiency levels remain higher than the initial March 2022 baseline, the recent trend suggests a strategic increase in inventory holdings relative to the cost of revenues.
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Receivables Turnover
T-Mobile US Inc., receivables turnover calculation (quarterly data)
| 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 | 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 | 5,247) | 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 | 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. | 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: 2026-06-30), 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 Q2 2026 Calculation
Receivables turnover
= (RevenuesQ2 2026
+ RevenuesQ1 2026
+ RevenuesQ4 2025
+ RevenuesQ3 2025)
÷ Accounts receivable, net of allowance for credit losses
= (22,791 + 23,107 + 24,334 + 21,957)
÷ 5,247 = 17.57
2 Click competitor name to see calculations.
The financial data indicates a general upward trajectory in revenue growth coupled with a gradual increase in net accounts receivable, resulting in a receivables turnover ratio that remains relatively stable despite periodic fluctuations. The efficiency of credit collection is characterized by a recurring cycle of expansion and contraction, though it consistently operates within a range of approximately 16.7 to 20.0.
- Revenue Trends
- Revenues exhibit a long-term growth pattern, beginning at 20,120 million USD in March 2022 and reaching a peak of 24,334 million USD by December 2025. While some volatility is observed between 2022 and 2023, a more pronounced acceleration in top-line growth occurs from March 2024 onwards, suggesting an expansion in market activity or pricing adjustments during the latter half of the analyzed period.
- Accounts Receivable Management
- Net accounts receivable show a steady increase from 4,016 million USD in March 2022 to 5,247 million USD by June 2026. This growth generally aligns with the increase in revenue, indicating that the growth in outstanding receivables is a proportional result of higher sales volume rather than a systemic failure in collection processes.
- Receivables Turnover Analysis
- The receivables turnover ratio demonstrates moderate volatility without a definitive long-term upward or downward trend. The highest efficiency was recorded in March 2022 at 20.04, while the lowest point occurred in December 2023 at 16.74. A notable recovery is observed in 2024, with the ratio peaking again at 19.04 in December 2024, before stabilizing between 17.57 and 18.60 through the first half of 2026. This suggests that the organization maintains a consistent ability to convert its receivables into cash, effectively managing its credit terms even as the total volume of receivables grows.
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Working Capital Turnover
T-Mobile US Inc., working capital turnover calculation (quarterly data)
| 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 | 21,769) | 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 | 23,554) | 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 | (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 | 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: 2026-06-30), 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 Q2 2026 Calculation
Working capital turnover
= (RevenuesQ2 2026
+ RevenuesQ1 2026
+ RevenuesQ4 2025
+ RevenuesQ3 2025)
÷ Working capital
= (22,791 + 23,107 + 24,334 + 21,957)
÷ -1,785 = —
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals a consistent growth trend in revenues contrasted by significant volatility in working capital management. For a substantial portion of the analyzed period, the entity operated with negative working capital, a condition where current liabilities exceed current assets.
- Revenue Performance
- Revenues exhibit a steady upward trajectory, increasing from 20,120 million USD in March 2022 to a peak of 24,334 million USD by December 2025. This growth indicates a stable expansion of the top-line financial performance over the multi-year period.
- Working Capital Dynamics
- A prolonged period of negative working capital is observed from March 2022 through June 2024, with values reaching a low of -5,675 million USD in December 2022. A structural shift occurs in September 2024, when working capital turns positive at 1,576 million USD. However, this positive trend is intermittent, as the figure fluctuates back into negative territory in September 2025 (-2,598 million USD) and June 2026 (-1,785 million USD).
- Working Capital Turnover Analysis
- The working capital turnover ratio is reported only during periods of positive working capital, as negative values render the traditional ratio interpretation inapplicable. The ratio shows extreme sensitivity to the size of the working capital base. A high turnover of 50.77 in September 2024 and 51.03 in June 2026 occurs when positive working capital is relatively low. Conversely, the ratio declines to 18.00 by September 2025, coinciding with a period of higher positive working capital (reaching 4,670 million USD in June 2025). This suggests that the turnover fluctuations are primarily driven by changes in the balance sheet structure rather than shifts in revenue generation efficiency.
The overall pattern indicates an aggressive working capital strategy, characterized by frequent shifts between negative and positive net current assets, while maintaining a consistent increase in total revenue.
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Average Inventory Processing Period
T-Mobile US Inc., average inventory processing period calculation (quarterly data)
| 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 | 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 | 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. | 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: 2026-06-30), 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 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 15.91 = 23
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a fluctuating pattern in inventory management efficiency over the observed period, characterized by distinct cycles of acceleration and deceleration in inventory movement.
- Inventory Turnover Trends
- The inventory turnover ratio experienced a period of growth through the first half of 2023, reaching a peak of 23.32 in June 2023. A similar spike occurred in June 2024, where the ratio reached 22.27. Following this second peak, a significant downward trend emerged, resulting in a period low of 13.20 in September 2025. A gradual recovery trend is observed from December 2025 through June 2026, with the ratio rising to 15.91.
- Average Inventory Processing Period
- The processing period exhibited an inverse relationship with the turnover ratio, with efficiency peaking in June 2023 and June 2024, when the processing time dropped to its lowest level of 16 days. A deterioration in efficiency occurred throughout 2025, with the processing period expanding to a peak of 28 days in September 2025. Since that peak, there has been a consistent reduction in the number of days required to process inventory, falling to 23 days by June 2026.
- Operational Efficiency Observations
- The data indicates a cyclical volatility in inventory management. The high turnover and low processing days observed in mid-2023 and mid-2024 suggest periods of optimized inventory flow. Conversely, the spike in the processing period during late 2025 indicates a slower movement of goods, which may be attributed to increased stock levels or a temporary decrease in sales velocity. The most recent readings suggest a stabilization phase as the processing period trends back toward historical averages.
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Average Receivable Collection Period
T-Mobile US Inc., average receivable collection period calculation (quarterly data)
| 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 | 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 | 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. | 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: 2026-06-30), 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 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 17.57 = 21
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a high degree of stability in the management of accounts receivable from March 2022 through June 2026. The collection cycle remains constrained within a narrow range, suggesting a consistent credit policy and an efficient recovery process for outstanding balances.
- Receivables Turnover Trends
- The receivables turnover ratio exhibits minor fluctuations, oscillating between a low of 16.74 in December 2023 and a peak of 20.04 in March 2022. A consistent pattern is observed where the ratio generally maintains a corridor between 17.00 and 19.00, indicating a predictable cadence in the conversion of receivables into cash over the analyzed period.
- Average Receivable Collection Period
- The average collection period demonstrates minimal volatility, ranging from a minimum of 18 days to a maximum of 22 days. A gradual increase was observed throughout 2023, peaking at 22 days by December 31, 2023, followed by a correction to 19 days by the end of 2024. The period subsequently stabilized between 20 and 22 days through mid-2026, reflecting a disciplined credit management approach that avoids significant extensions of payment terms.
- Correlation and Operational Efficiency
- A direct inverse correlation exists between the turnover ratio and the collection period. The periods of lowest turnover, specifically December 2023 and September 2025, correspond exactly with the peaks in the collection period at 22 days. Conversely, the highest operational efficiency recorded in March 2022, with a turnover of 20.04, aligns with the shortest collection window of 18 days. This consistency indicates that fluctuations in the collection cycle are marginal and do not signal systemic deterioration in credit quality.
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Operating Cycle
T-Mobile US Inc., operating cycle calculation (quarterly data)
No. days
| 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 | 23 | 25 | 27 | 28 | 20 | 24 | 20 | 22 | 16 | 19 | 20 | 20 | 16 | 19 | 19 | 22 | 22 | 26 | ||||||
| Average receivable collection period | 21 | 20 | 20 | 22 | 20 | 19 | 19 | 20 | 21 | 20 | 22 | 21 | 21 | 20 | 20 | 20 | 20 | 18 | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Operating cycle1 | 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. | 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: 2026-06-30), 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 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 23 + 21 = 44
2 Click competitor name to see calculations.
The operating cycle exhibits fluctuations primarily driven by changes in inventory management, while receivable collections remain consistently stable across the analyzed period.
- Average Inventory Processing Period
- An initial downward trend is observed from March 2022, where the period decreased from 26 days to a low of 16 days by June 2023. This indicates a phase of increased inventory turnover efficiency. However, a subsequent increase occurred throughout 2025, peaking at 28 days in September 2025, before moderately declining to 23 days by June 2026. These fluctuations suggest variability in stock management or seasonal demand shifts.
- Average Receivable Collection Period
- The collection period demonstrates high stability, maintaining a tight range between 18 and 22 days. The minimal variance over the observed quarters indicates a highly consistent and effective credit collection process, ensuring a predictable stream of cash inflows from customers.
- Operating Cycle
- The overall operating cycle mirrors the volatility of the inventory processing period, as the receivable component remains flat. The cycle reached its most efficient point in June 2023 at 37 days and its least efficient point in September 2025 at 50 days. The recent trend shows a return toward the baseline of 44 days by mid-2026, reflecting a normalization of the time required to convert operating assets into cash.
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