Stock Analysis on Net

T-Mobile US Inc. (NASDAQ:TMUS)

$24.99

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

Microsoft Excel

Paying user area

The data is hidden behind: . Unhide it.

This is a one-time payment. There is no automatic renewal.


We accept:

Visa Mastercard American Express Maestro Discover JCB PayPal Google Pay
Visa Secure Mastercard Identity Check American Express SafeKey

Short-term Activity Ratios (Summary)

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

Microsoft Excel
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
Receivables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle

Based on: 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 indicates a period of fluctuating inventory efficiency coupled with highly stable receivables management. While the company maintained a consistent collection pace throughout the observed timeframe, the overall operating cycle experienced volatility driven primarily by shifts in inventory movement.

Inventory Management Efficiency
Inventory turnover exhibited significant volatility, peaking at 23.32 in June 2023 and 22.27 in June 2024, before declining to 13.20 by September 2025. This trend is mirrored in the average inventory processing period, which reached a high efficiency of 16 days during the June peaks but lengthened to 28 days by September 2025, suggesting a slowdown in the movement of goods toward the end of the period.
Receivables Collection Performance
Receivables turnover remained remarkably stable, generally fluctuating between 16.74 and 20.04. The average receivable collection period demonstrated minimal variance, consistently ranging between 18 and 22 days. This stability indicates a disciplined and predictable credit collection process that is not significantly impacted by seasonal or cyclical shifts.
Operating Cycle and Working Capital Utilization
The operating cycle, which integrates both inventory and receivables periods, reached its most efficient point of 37 days in June 2023 and June 2024. However, the cycle extended to a peak of 50 days in September 2025, reflecting the deterioration in inventory turnover. Working capital turnover displays extreme variability where recorded, with high peaks exceeding 50.00 in September 2024 and March 2026, contrasted by lower levels between 18.00 and 21.69 during the first half of 2025.

Turnover Ratios


Average No. Days


Inventory Turnover

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

Microsoft Excel
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
Inventory
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
AT&T Inc.
Verizon Communications Inc.

Based on: 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 Q1 2026 Calculation
Inventory turnover = (Cost of revenuesQ1 2026 + Cost of revenuesQ4 2025 + Cost of revenuesQ3 2025 + Cost of revenuesQ2 2025) ÷ Inventory
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The inventory management performance exhibits significant volatility over the observed period, characterized by a strong efficiency peak in mid-2023 followed by a gradual decline in turnover rates through early 2026.

Inventory Turnover Trends
An upward trajectory in turnover efficiency was observed from March 2022 (13.90) to June 2023, where the ratio reached a maximum of 23.32. This improvement coincided with a substantial reduction in inventory levels, which decreased from $2.715 billion to $1.373 billion. Following this peak, the ratio entered a period of volatility and overall decline, reaching a low of 13.20 by September 2025, before showing a slight recovery to 14.70 by March 2026.
Correlation Between Inventory Levels and Efficiency
An inverse relationship is evident between total inventory holdings and the turnover ratio. The highest turnover rates occurred when inventory levels were at their lowest, particularly between March 2023 and June 2024. Conversely, the deterioration of the turnover ratio in 2025 corresponds with a rise in inventory assets, which climbed from $1.607 billion in September 2024 to a peak of $2.405 billion in December 2025.
Seasonal Cost of Revenue Patterns
The cost of revenues demonstrates a consistent seasonal pattern, with significant spikes occurring every December. The most pronounced increase was recorded in December 2025, with costs reaching $10.272 billion. Despite these recurring year-end surges in expenditure, the turnover ratio in the latter half of the period failed to return to the peak efficiency levels observed in 2023, suggesting a higher accumulation of stock relative to the velocity of sales.

Receivables Turnover

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

Microsoft Excel
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
Accounts receivable, net of allowance for credit losses
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
AT&T Inc.
Verizon Communications Inc.

Based on: 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 Q1 2026 Calculation
Receivables turnover = (RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025 + RevenuesQ2 2025) ÷ Accounts receivable, net of allowance for credit losses
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity indicates a period of relative stability in receivables management, characterized by a steady growth in revenues and a fluctuating but controlled level of accounts receivable.

Revenue Trajectory
Revenues exhibit a general upward trend over the analyzed period, rising from 20,120 million US dollars in March 2022 to 23,107 million US dollars by March 2026. A significant peak is observed in December 2025, where revenues reached 24,334 million US dollars, indicating strong periodic growth.
Accounts Receivable Dynamics
Net accounts receivable remained largely consistent, oscillating between 4,016 million US dollars and a peak of 5,084 million US dollars in September 2025. The increase in receivables during the latter part of 2025 coincides with the period of highest revenue, suggesting a proportional expansion of credit extended to customers during peak sales periods.
Receivables Turnover Efficiency
The receivables turnover ratio demonstrates a fluctuating pattern, starting at 20.04 in March 2022 and reaching a trough of 16.74 in December 2023. Following this period, the ratio entered a recovery phase, stabilizing primarily within the 17.00 to 19.00 range. The most recent figure of 18.60 in March 2026 indicates an improvement in collection efficiency relative to the lows experienced in late 2023 and mid-2025.
Operational Correlation
The relationship between revenue growth and the turnover ratio suggests that while the company has expanded its top line, the efficiency of converting receivables into cash has remained within a sustainable operational range. The recurring cyclical nature of the turnover ratio, marked by periodic dips followed by recoveries, indicates seasonal variations in credit cycles or customer payment behaviors.

Working Capital Turnover

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

Microsoft Excel
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
Less: Current liabilities
Working capital
 
Revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
AT&T Inc.
Verizon Communications Inc.

Based on: 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 Q1 2026 Calculation
Working capital turnover = (RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025 + RevenuesQ2 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data reveals a period of steady revenue growth contrasted by significant volatility in working capital positions. Revenues remained relatively stable between 2022 and 2023, fluctuating around the 19 billion to 20 billion US dollar range, before entering a growth phase starting in late 2024 and peaking at 24.33 billion US dollars by December 31, 2025.

Working Capital Trends
A persistent trend of negative working capital is observed from March 31, 2022, through March 31, 2024, with values ranging from -1.27 billion to -5.68 billion US dollars. This indicates a period where current liabilities consistently exceeded current assets. A shift occurred in late 2024, where working capital turned positive, reaching a peak of 4.67 billion US dollars by June 30, 2025. However, this positive position was transient, as values dipped back into negative territory by September 30, 2025, before recovering to 1.77 billion US dollars by March 31, 2026.
Working Capital Turnover Analysis
The working capital turnover ratio exhibits extreme variance, primarily driven by the proximity of working capital to zero. A high turnover ratio of 50.77 was recorded on September 30, 2024, coinciding with a relatively low positive working capital of 1.58 billion US dollars. As working capital increased to 4.67 billion US dollars by June 30, 2025, the turnover ratio decreased significantly to 21.69, reflecting a larger capital base relative to the generated revenue. A further decline to 18.00 was noted by December 31, 2025, as revenue grew but the working capital remained positive.
Operating Efficiency Insights
The most recent data point from March 31, 2026, shows the turnover ratio returning to 51.03. This surge is attributed to the combination of elevated revenues (23.11 billion US dollars) and a moderate working capital balance (1.77 billion US dollars). The pattern suggests an operational model that fluctuates between aggressive working capital management—characterized by negative net current assets—and more conservative liquidity positions.

Average Inventory Processing Period

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

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
AT&T Inc.
Verizon Communications Inc.

Based on: 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 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a period of significant fluctuation in inventory efficiency between March 2022 and March 2026. An initial trend toward improved inventory velocity was observed, which subsequently transitioned into a period of increased processing times and lower turnover rates.

Inventory Turnover Trends
The inventory turnover ratio demonstrated an upward trajectory from 13.90 in March 2022, reaching a peak of 23.32 in June 2023. This peak represents the highest point of inventory efficiency within the observed period. Following this maximum, the ratio exhibited increased volatility and a general downward trend, reaching a low of 13.20 in June 2025, before a marginal recovery to 14.70 by March 2026.
Average Inventory Processing Period
The average inventory processing period inversely mirrors the turnover movements, beginning at 26 days and reaching a minimum of 16 days in both June 2022 and June 2023. This period of peak efficiency was followed by a steady increase in the time required to process inventory. A significant upward shift is noted between December 2023 (20 days) and June 2025, where the processing period peaked at 28 days. The most recent observation in March 2026 shows the period stabilizing at 25 days.
Operational Efficiency Insights
The synchronization between the rising processing period and the declining turnover ratio in the latter half of the period suggests a deceleration in inventory movement. The transition from a 16-day processing cycle to a range of 25 to 28 days indicates a reduction in the speed of inventory conversion, reflecting a shift in the efficiency of short-term asset management.

Average Receivable Collection Period

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

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
AT&T Inc.
Verizon Communications Inc.

Based on: 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 Q1 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 high level of consistency in the management of accounts receivable over the period from March 2022 to March 2026. The company maintains an efficient conversion of credit sales into cash, characterized by minimal volatility in its collection cycles.

Receivables Turnover Ratio
The turnover ratio demonstrates a stable trajectory, generally fluctuating between a low of 16.74 in December 2023 and a high of 20.04 in March 2022. A period of relative softening occurred between June 2022 and June 2023, where the ratio dipped to 17.11. However, subsequent recovery is evident, with the ratio returning to a range of 18.00 to 19.00 throughout much of 2024 and 2025. This indicates a sustained ability to rotate receivables rapidly.
Average Receivable Collection Period
The collection period is characterized by remarkable stability, oscillating within a tight window of 18 to 22 days. The most efficient collection occurred in March 2022 at 18 days, while the maximum duration of 22 days was reached in December 2023 and September 2025. For the vast majority of the analyzed quarters, the collection period remained constant at 20 days, reflecting a disciplined and predictable credit management process.

The close alignment between the turnover ratio and the collection period confirms a steady operational cadence. The absence of any significant long-term upward trend in the collection period suggests that credit risk is effectively mitigated and that there are no systemic delays in the receipt of payments from the customer base, supporting strong short-term liquidity.


Operating Cycle

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

No. days

Microsoft Excel
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
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
AT&T Inc.
Verizon Communications Inc.

Based on: 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 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a moderate level of volatility in the operating cycle, primarily driven by fluctuations in inventory management. While the total cycle exhibits periodic peaks and troughs, the underlying collection process remains remarkably stable across the analyzed timeframe.

Average Inventory Processing Period
A general downward trend was observed from March 2022, where the period stood at 26 days, reaching a low of 16 days by June 2023. Following this period of efficiency, the processing time entered a phase of fluctuation, peaking at 28 days in September 2025 before settling at 25 days by March 2026. These variations suggest shifts in inventory turnover rates or strategic stockpiling during specific quarters.
Average Receivable Collection Period
The collection of receivables demonstrated high consistency throughout the entire period. The duration remained within a narrow range of 18 to 22 days, consistently averaging approximately 20 days. This stability indicates a disciplined credit policy and a predictable cash inflow pattern from customers.
Operating Cycle
The total operating cycle fluctuates between a minimum of 37 days and a maximum of 50 days. Because the receivable collection period is nearly constant, the volatility of the operating cycle is almost entirely attributable to changes in the inventory processing period. A notable expansion of the cycle occurred in late 2025, coinciding with the peak in inventory processing time, followed by a gradual contraction toward 45 days by the end of the period.