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)
Turnover Ratios
Average No. Days
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 operating activity ratios reveals a consistent trend toward improved operational efficiency and an accelerated cash conversion cycle. Asset management strategies demonstrate a clear trajectory toward reducing the time elapsed between the acquisition of inventory and the collection of cash from customers.
- Inventory Management Efficiency
- Inventory turnover exhibits periodic fluctuations, ranging from a low of 14.50 in September 2022 to a peak of 27.18 in June 2024. Correspondingly, the average inventory processing period has remained relatively low, fluctuating between 13 and 25 days. While there is some volatility in these figures, the processing period generally stabilizes around 17 to 20 days in the later periods, indicating a consistent approach to maintaining lean inventory levels.
- Receivables Management Efficiency
- A sustained and significant improvement is observed in receivables turnover, which increased from 8.98 in March 2022 to 16.12 by September 2026. This upward trend is mirrored by a substantial decrease in the average receivable collection period, which dropped from 41 days to 23 days over the analyzed timeframe. This progression indicates a marked increase in the efficiency of credit and collection processes, resulting in faster liquidity generation.
- Operating Cycle Analysis
- The overall operating cycle has contracted from a peak of 57 days in 2022 to a stabilized range of 41 to 43 days by 2026. This reduction is primarily driven by the consistent improvement in receivable collection times rather than inventory processing. The shortened operating cycle suggests enhanced operational agility and a reduced requirement for short-term working capital financing.
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Inventory Turnover
| 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 | 12,442) | 12,047) | 12,566) | 14,818) | 11,819) | 12,150) | 12,033) | 14,195) | 11,630) | 11,442) | 11,954) | 13,911) | 12,054) | 11,827) | 12,331) | 13,571) | 12,201) | 12,341) | 12,735) | ||||||
| Inventories | 2,893) | 2,368) | 2,451) | 2,420) | 2,886) | 2,357) | 2,593) | 2,270) | 2,529) | 1,816) | 2,127) | 2,177) | 2,520) | 2,348) | 2,791) | 3,123) | 3,935) | 3,241) | 3,153) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Inventory turnover1 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||
| T-Mobile US Inc. | 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 | ||||||
| Verizon Communications Inc. | 20.30 | 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)
÷ Inventories
= (12,442 + 12,047 + 12,566 + 14,818)
÷ 2,893 = 17.93
2 Click competitor name to see calculations.
The analysis of short-term operating activity indicates a recurring seasonal pattern in cost of revenues and fluctuating efficiency in inventory management over the period from March 2022 to September 2026. Inventory turnover demonstrates significant volatility, reflecting periodic adjustments in stock levels relative to quarterly operational costs.
- Cost of Revenues Trends
- A consistent seasonal spike is observed every fourth quarter, with costs peaking in December of each year. This trend is evident in the increases to 13.57 billion in December 2022, 13.91 billion in December 2023, 14.19 billion in December 2024, and 14.81 billion in December 2025. Outside of these peaks, costs generally remain within a range of 11.4 billion to 12.6 billion.
- Inventory Level Fluctuations
- Inventory levels exhibited a general downward trajectory from a peak of 3.93 billion in September 2022 to a minimum of 1.81 billion in June 2024. Following this low point, inventory levels stabilized, fluctuating between 2.3 billion and 2.9 billion through 2025 and 2026, suggesting a recalibration of stock requirements.
- Inventory Turnover Performance
- The inventory turnover ratio displays an inverse relationship with inventory stockpiles. The lowest turnover ratio of 14.50 occurred in September 2022, coinciding with the highest inventory levels. Conversely, the peak turnover ratio of 27.18 was reached in June 2024, aligning with the lowest recorded inventory levels. Throughout 2025 and 2026, the ratio remained relatively stable, typically oscillating between 17.39 and 21.64, indicating a more consistent rate of inventory liquidation.
- Operational Efficiency Insights
- The data suggests a transition from a period of high inventory accumulation in 2022 toward a leaner inventory model by 2024. The stabilization of the turnover ratio in the later years indicates a more predictable cycle of asset utilization, although the persistent quarterly volatility suggests that operating activity remains sensitive to seasonal demand shifts.
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Receivables Turnover
| 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) | |||||||||||||||||||||||||
| Operating revenues | 32,322) | 31,558) | 31,506) | 33,466) | 30,709) | 30,847) | 30,626) | 32,298) | 30,213) | 29,797) | 30,028) | 32,022) | 30,350) | 29,917) | 30,139) | 31,343) | 30,043) | 29,643) | 29,712) | ||||||
| Accounts receivable, net of related allowances for credit loss | 7,992) | 8,521) | 8,335) | 8,843) | 8,936) | 8,844) | 9,228) | 9,638) | 9,068) | 9,686) | 9,577) | 10,289) | 8,962) | 9,304) | 10,214) | 11,466) | 11,384) | 11,377) | 17,218) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Receivables turnover1 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||
| T-Mobile US Inc. | 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 | ||||||
| Verizon Communications Inc. | 5.29 | 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
= (Operating revenuesQ3 2026
+ Operating revenuesQ2 2026
+ Operating revenuesQ1 2026
+ Operating revenuesQ4 2025)
÷ Accounts receivable, net of related allowances for credit loss
= (32,322 + 31,558 + 31,506 + 33,466)
÷ 7,992 = 16.12
2 Click competitor name to see calculations.
The analysis of the short-term operating activity reveals a consistent improvement in the efficiency of receivables management over the period from March 31, 2022, to September 30, 2026. The most prominent trend is the steady increase in the receivables turnover ratio, which suggests a more rapid conversion of accounts receivable into cash.
- Operating Revenue Trends
- Operating revenues exhibit relative stability with a recurring seasonal pattern. Quarterly revenues generally fluctuate between 29.6 billion and 32.3 billion US dollars, with consistent peaks occurring in the fourth quarter of each year. This stability in the top line indicates that the improvements in turnover are not driven by revenue growth, but rather by changes in the balance sheet management of receivables.
- Accounts Receivable Reduction
- A significant downward trend is observed in the net accounts receivable balance. Following a sharp decrease between March 2022 (17.2 billion US dollars) and June 2022 (11.3 billion US dollars), the balance continued a gradual decline, reaching 7.99 billion US dollars by September 30, 2026. This reduction in the average receivables balance, relative to stable revenue levels, is the primary catalyst for the increased turnover efficiency.
- Receivables Turnover Performance
- The receivables turnover ratio grew from 8.98 in March 2022 to 16.12 by September 2026. The progression can be categorized into two phases: an initial period of volatility and rapid adjustment throughout 2022 and 2023, followed by a sustained upward trajectory from 2024 through late 2026. This trend signifies a marked acceleration in the collection cycle and improved liquidity management.
The convergence of stable operating revenues and a diminishing accounts receivable balance indicates a successful optimization of credit and collection processes. The result is a significantly higher turnover ratio, reflecting an enhanced ability to recover outstanding debts more quickly than in previous periods.
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Working Capital Turnover
| 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 | 52,345) | 51,834) | 46,282) | 48,732) | 54,579) | 39,306) | 33,780) | 31,168) | 29,799) | 29,868) | 30,445) | 36,458) | 35,620) | 36,672) | 29,903) | 33,108) | 32,295) | 34,485) | 76,856) | ||||||
| Less: Current liabilities | 60,275) | 53,382) | 50,421) | 53,780) | 53,876) | 48,565) | 47,999) | 46,872) | 40,658) | 42,429) | 44,834) | 51,127) | 51,684) | 54,159) | 58,150) | 56,173) | 52,257) | 49,189) | 82,494) | ||||||
| Working capital | (7,930) | (1,548) | (4,139) | (5,048) | 703) | (9,259) | (14,219) | (15,704) | (10,859) | (12,561) | (14,389) | (14,669) | (16,064) | (17,487) | (28,247) | (23,065) | (19,962) | (14,704) | (5,638) | ||||||
| Operating revenues | 32,322) | 31,558) | 31,506) | 33,466) | 30,709) | 30,847) | 30,626) | 32,298) | 30,213) | 29,797) | 30,028) | 32,022) | 30,350) | 29,917) | 30,139) | 31,343) | 30,043) | 29,643) | 29,712) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Working capital turnover1 | — | — | — | — | 177.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||
| T-Mobile US Inc. | — | — | 51.03 | — | — | 18.00 | 21.69 | — | 50.77 | — | — | — | — | — | — | — | — | — | — | ||||||
| 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
= (Operating revenuesQ3 2026
+ Operating revenuesQ2 2026
+ Operating revenuesQ1 2026
+ Operating revenuesQ4 2025)
÷ Working capital
= (32,322 + 31,558 + 31,506 + 33,466)
÷ -7,930 = —
2 Click competitor name to see calculations.
The financial data indicates a persistent trend of negative working capital coupled with remarkably stable operating revenues over the analyzed period. The organization consistently operates with current liabilities exceeding current assets, a characteristic often seen in capital-intensive industries with high predictable cash flows, though the magnitude of this deficit shifted significantly between 2022 and 2026.
- Working Capital Trends
- A period of increasing liquidity deficit is observed from March 2022, where working capital stood at -5,638 million USD, reaching a peak deficit of -28,247 million USD by March 2023. Following this trough, a general trend of recovery is evident, with the deficit narrowing through 2024 and early 2025. A notable anomaly occurs in September 2025, where working capital briefly turns positive at 703 million USD. This positive position is short-lived, as the balance returns to negative territory for the remainder of the period, ending at -7,930 million USD in September 2026.
- Operating Revenue Performance
- Operating revenues demonstrate high stability with a slight upward trajectory. Values fluctuate within a narrow band, generally ranging between 29,643 million USD and 33,466 million USD. The most significant growth is observed toward the end of 2025, peaking in September 2025, which aligns with the period of the most favorable working capital position.
- Working Capital Turnover Analysis
- The working capital turnover ratio is predominantly absent from the record due to the negative working capital balances, which render the standard ratio calculation non-traditional or misleading. However, a specific value of 177.07 is recorded for September 30, 2025. This exceptionally high turnover ratio is a direct mathematical result of the convergence of peak operating revenues (30,709 million USD) and the only positive working capital balance (703 million USD) in the series, indicating an extreme efficiency of asset utilization during that specific quarter.
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Average Inventory Processing Period
| 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 | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average inventory processing period1 | 20 | 17 | 17 | 17 | 21 | 17 | 19 | 17 | 19 | 13 | 16 | 16 | 18 | 17 | 20 | 22 | 25 | 19 | 16 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||
| T-Mobile US Inc. | 32 | 23 | 25 | 27 | 28 | 20 | 24 | 20 | 22 | 16 | 19 | 20 | 20 | 16 | 19 | 19 | 22 | 22 | 26 | ||||||
| Verizon Communications Inc. | 18 | 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 ÷ 17.93 = 20
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a fluctuating yet generally stable inventory management cycle. A consistent inverse correlation is observed between the inventory turnover ratio and the average inventory processing period, reflecting the operational efficiency of inventory movement over the analyzed timeframe.
- Inventory Turnover Dynamics
- The inventory turnover ratio experienced notable volatility during 2022, declining from 22.66 in March to a period low of 14.50 in September. Following this trough, a sustained recovery trend emerged, leading to a peak efficiency of 27.18 by June 30, 2024. In the subsequent periods spanning 2025 and 2026, the ratio stabilized, generally fluctuating between 17.39 and 21.64.
- Average Inventory Processing Period Analysis
- The average inventory processing period mirrored the turnover trends, reaching its maximum duration of 25 days in September 2022, which represents the lowest point of inventory liquidity during the period. Efficiency improved significantly over the following two years, reaching a minimum of 13 days by June 30, 2024. From March 2025 through September 2026, the processing period exhibited a tighter range of variance, remaining primarily between 17 and 21 days.
- Overall Operational Efficiency Trends
- Operational activity was characterized by significant instability in 2022, followed by a period of optimization that peaked in mid-2024. The data from 2025 and 2026 suggests a transition toward a standardized operational cadence, where the inventory processing period converged toward a mean of approximately 18 days, indicating a stabilized approach to inventory management.
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Average Receivable Collection Period
| 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 | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average receivable collection period1 | 23 | 24 | 24 | 26 | 26 | 26 | 27 | 29 | 27 | 29 | 29 | 31 | 27 | 28 | 31 | 35 | 32 | 30 | 41 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||
| T-Mobile US Inc. | 19 | 21 | 20 | 20 | 22 | 20 | 19 | 19 | 20 | 21 | 20 | 22 | 21 | 21 | 20 | 20 | 20 | 20 | 18 | ||||||
| Verizon Communications Inc. | 69 | 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 ÷ 16.12 = 23
2 Click competitor name to see calculations.
The analysis of operating activity ratios reveals a significant improvement in the efficiency of receivables management from March 31, 2022, through September 30, 2026. There is a clear inverse correlation between the increasing turnover ratio and the decreasing collection period, suggesting a systematic acceleration in the conversion of accounts receivable into cash.
- Receivables Turnover Performance
- The receivables turnover ratio demonstrates a strong long-term upward trajectory, rising from 8.98 in March 2022 to a peak of 16.12 by September 2026. Although periodic volatility is evident—most notably during the December quarters of 2022 and 2023, where ratios dipped to 10.53 and 11.90 respectively—the trend shifted toward consistent growth starting in 2024. This indicates that the frequency of receivable collections relative to credit sales has nearly doubled over the period.
- Average Receivable Collection Period Trends
- The average receivable collection period experienced a substantial contraction, decreasing from 41 days in March 2022 to 23 days by September 2026. A notable sharp decline occurred in the second quarter of 2022, dropping from 41 to 30 days. After a phase of relative stability between 27 and 31 days from late 2022 through early 2025, a steady and incremental reduction is observed, resulting in a final collection period of 23 days.
The reduction of the collection cycle by 18 days implies enhanced operational liquidity and a decrease in the amount of working capital tied up in outstanding receivables. The overall trend reflects a more efficient credit management process and improved payment velocity from customers.
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Operating Cycle
| 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 | 20 | 17 | 17 | 17 | 21 | 17 | 19 | 17 | 19 | 13 | 16 | 16 | 18 | 17 | 20 | 22 | 25 | 19 | 16 | ||||||
| Average receivable collection period | 23 | 24 | 24 | 26 | 26 | 26 | 27 | 29 | 27 | 29 | 29 | 31 | 27 | 28 | 31 | 35 | 32 | 30 | 41 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Operating cycle1 | 43 | 41 | 41 | 43 | 47 | 43 | 46 | 46 | 46 | 42 | 45 | 47 | 45 | 45 | 51 | 57 | 57 | 49 | 57 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||
| T-Mobile US Inc. | 51 | 44 | 45 | 47 | 50 | 40 | 43 | 39 | 42 | 37 | 39 | 42 | 41 | 37 | 39 | 39 | 42 | 42 | 44 | ||||||
| Verizon Communications Inc. | 87 | 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
= 20 + 23 = 43
2 Click competitor name to see calculations.
The operating cycle demonstrates a general contraction over the analyzed period, reflecting an improvement in the efficiency of the working capital cycle. From a peak of 57 days in early 2022, the cycle trended downward, reaching a minimum of 41 days by the first half of 2026 before stabilizing at 43 days by September 2026.
- Average Inventory Processing Period
- The inventory processing period exhibits moderate volatility without a definitive long-term directional trend. A peak of 25 days was recorded in September 2022, followed by a period of fluctuation between 13 and 21 days. The period ended at 20 days in September 2026, suggesting a relatively stable management of inventory turnover despite minor quarterly variances.
- Average Receivable Collection Period
- A consistent and significant downward trend is observed in the receivable collection period. This metric decreased from a high of 41 days in March 2022 to 23 days by September 2026. This progressive reduction indicates enhanced efficiency in credit collection processes and a faster conversion of accounts receivable into cash.
- Operating Cycle Synthesis
- The overall reduction in the operating cycle is primarily driven by the improvement in the receivable collection period rather than changes in inventory processing. The synergy between stable inventory turnover and accelerated collections has resulted in a more streamlined operating cycle, effectively reducing the time required to convert operating inputs into cash by approximately 14 days over the observed timeframe.
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