Stock Analysis on Net
Stock Analysis on Net

Verizon Communications Inc. (NYSE:VZ)

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

Verizon Communications Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
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
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: 2026-06-30), 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 reveals a notable improvement in inventory management efficiency, which has been partially offset by a gradual slowdown in the collection of receivables. Overall, the operating cycle has remained relatively stable, although it reflects an ongoing tension between accelerating inventory throughput and decelerating credit recovery.

Inventory Management Efficiency
A significant upward trend in inventory turnover is observed, rising from 15.61 in March 2022 to a peak of 29.87 in June 2023, and ending at 27.79 in June 2026. This improvement is mirrored in the average inventory processing period, which decreased from 23 days in early 2022 to a low of 12 days in June 2023 and June 2024. The consistency of these figures suggests a more streamlined approach to managing stock and a reduction in the time assets remain idle.
Receivables Collection Performance
Receivables turnover exhibits a gradual downward trajectory, declining from 5.69 in March 2022 to 5.24 by June 2026. This corresponds with an increase in the average receivable collection period, which expanded from 64 days in early 2022 to a peak of 72 days in December 2025, before settling at 70 days. This trend indicates a slight deterioration in the velocity of cash inflows from customers.
Operating Cycle Dynamics
The total operating cycle has fluctuated within a range of 75 to 88 days. An initial contraction was observed, reaching a minimum of 75 days in June 2023, driven primarily by the optimization of inventory processing. However, the cycle lengthened again, peaking at 88 days in September 2024 and December 2025, as the slowing collection of receivables outweighed the gains in inventory turnover. The cycle concluded at 83 days in June 2026, indicating that the overall time required to convert operating inputs into cash remains higher than the mid-2023 lows.

Turnover Ratios


Average No. Days


Inventory Turnover

Verizon Communications Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
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 services and wireless equipment
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
AT&T Inc.
T-Mobile US 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
Inventory turnover = (Cost of services and wireless equipmentQ2 2026 + Cost of services and wireless equipmentQ1 2026 + Cost of services and wireless equipmentQ4 2025 + Cost of services and wireless equipmentQ3 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Analysis reveals a general upward trajectory in inventory efficiency from March 2022 through June 2026, characterized by a transition from lower turnover rates to a higher, though volatile, operational baseline.

Inventory Turnover Trends
The inventory turnover ratio expanded from 15.61 in March 2022 to a peak of 29.87 in June 2023. While the ratio experienced periodic contractions—most notably reaching 20.67 in September 2025—the overall trend indicates a more rapid movement of wireless equipment and services through the operational cycle compared to the early 2022 period. The ratio concluded the observed timeframe at 27.79 in June 2026.
Cost of Services and Wireless Equipment Patterns
A consistent seasonal pattern is evident in the cost of services and wireless equipment, with recurring peaks every December. These spikes, such as the 16,478 million USD recorded in December 2025, align with typical industry cycles of increased hardware sales during the fourth quarter. Outside of these peaks, costs generally fluctuate between 12,400 million USD and 14,600 million USD.
Inventory Level Management
Inventory holdings underwent a significant reduction between March 2022 (3,659 million USD) and June 2024 (1,841 million USD). This reduction in stockpiled assets served as a primary driver for the increased turnover ratios. Despite this general decline, cyclical increases in inventory are observable in the third quarters of 2024 and 2025, likely as a strategic buildup in preparation for year-end demand surges.
Operational Efficiency Correlation
The inverse relationship between inventory levels and turnover ratios is pronounced. Periods of inventory accumulation, such as September 2025 (2,700 million USD), correspond with troughs in the turnover ratio (20.67), whereas lean inventory periods, such as June 2023 (1,896 million USD), correlate with peak turnover efficiency (29.87).

Receivables Turnover

Verizon Communications Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
AT&T Inc.
T-Mobile US 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
Receivables turnover = (Operating revenuesQ2 2026 + Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of the operating activity indicates a gradual reduction in the efficiency of receivables collection over the observed period. While operating revenues exhibit periodic fluctuations, there is a clear upward trajectory in the net accounts receivable balance, which has exerted downward pressure on the turnover ratio.

Operating Revenue Patterns
Revenues consistently fluctuate between approximately 32.5 billion and 36.4 billion US dollars. A recurring seasonal trend is observed, with peak revenues typically occurring in the December quarters of each year, suggesting higher end-of-year commercial activity.
Accounts Receivable Trajectory
Net accounts receivable have grown from 23.6 billion US dollars in March 2022 to approximately 26.5 billion US dollars by June 2026. This growth trend is more pronounced starting in early 2024, indicating an increase in the volume of outstanding payments relative to total revenue.
Receivables Turnover Ratio Analysis
The turnover ratio reached a peak of 5.96 in March 2023 before initiating a sustained decline. By 2024, the ratio shifted from a previous range of 5.6 to 5.7 down to a lower corridor between 5.1 and 5.3. This contraction suggests a slowdown in the rate at which receivables are converted into cash, reflecting a potential lengthening of the average collection period.
Correlation and Operational Insight
The divergence between relatively stable revenue growth and increasing accounts receivable explains the deterioration of the turnover ratio. The stabilization of the ratio between 5.1 and 5.3 from March 2024 through June 2026 suggests that the company has reached a new, lower equilibrium in its credit and collection efficiency.

Working Capital Turnover

Verizon Communications Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
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
Less: Current liabilities
Working capital
 
Operating revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
AT&T Inc.
T-Mobile US 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 = (Operating revenuesQ2 2026 + Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of operating activity reveals a consistent pattern of negative working capital throughout the observed period, paired with relatively stable operating revenues. This structure indicates a business model that relies on current liabilities to finance operations, a common characteristic in the telecommunications sector where high capital expenditures and specific payment cycles often result in current liabilities exceeding current assets.

Working Capital Trends
A general trend of deepening working capital deficits is observed from March 2022 through December 2024. The deficit expanded from -11,005 million USD in the first quarter of 2022 to a peak deficit of -24,248 million USD by the end of 2024. A significant and temporary recovery occurred in September 2025, where the deficit narrowed to -5,448 million USD, before returning to a sharp deficit of -25,157 million USD by March 2026.
Revenue Stability and Correlation
Operating revenues remained remarkably consistent across the multi-year period, generally fluctuating between 32,596 million USD and 36,381 million USD. There is no strong positive correlation between the increase in the working capital deficit and revenue growth, suggesting that the expansion of the negative working capital position was driven by changes in the balance sheet structure—such as increased short-term debt or accounts payable—rather than an increase in operational scale.
Working Capital Turnover Implications
Because working capital remained negative for the entire duration, the working capital turnover ratio is consistently negative. The magnitude of this negative turnover intensified during periods where the working capital deficit widened, particularly between June 2024 and March 2026. This implies an increasing reliance on short-term financing to support a steady stream of operating revenue.
Liquidity Volatility
The data exhibits significant volatility in the short-term financial position during 2025 and 2026. The rapid shift from a narrow deficit in September 2025 to a deep deficit by March 2026 indicates substantial fluctuations in current assets or liabilities, reflecting potential strategic shifts in liability management or large-scale short-term obligations being recognized.

Average Inventory Processing Period

Verizon Communications Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
AT&T Inc.
T-Mobile US 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
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analyzed period demonstrates a significant improvement in inventory management efficiency, characterized by a marked increase in turnover rates and a corresponding reduction in the average inventory processing period.

Inventory Turnover Trends
A consistent upward trajectory in inventory turnover is observed from March 2022 through June 2023, with the ratio rising from 15.61 to a peak of 29.87. Following this peak, the ratio exhibits moderate volatility, fluctuating between a low of 20.67 in September 2025 and a high of 29.31 in June 2024. The period concludes with a strong turnover ratio of 27.79 in June 2026, indicating a sustained capacity to cycle through inventory more rapidly than at the start of the observed timeframe.
Average Inventory Processing Period
The time required to process inventory saw a substantial decline, dropping from 23 days in the first half of 2022 to a minimum of 12 days by June 2023. While the processing period experienced intermittent increases—most notably reaching 18 days in September 2025—the overall trend remains lower than the 2022 baseline. By June 2026, the processing period returned to 13 days, reflecting an optimized operational cycle.
Correlation and Operational Volatility
A strong inverse correlation exists between the turnover ratio and the processing period throughout the timeframe. Periods of operational slowdown are evident in September 2024 and September 2025, where the processing period increased to 17 and 18 days respectively, coinciding with dips in the turnover ratio to 21.31 and 20.67. These fluctuations suggest periodic seasonal or supply chain variances, yet the baseline efficiency has shifted permanently toward a leaner inventory model.

Average Receivable Collection Period

Verizon Communications Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
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
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
AT&T Inc.
T-Mobile US 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
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a general deceleration in the efficiency of receivable collections over the period from March 2022 to June 2026. While the initial phase of the observed timeframe was characterized by relative stability, a gradual lengthening of the collection cycle emerged starting in late 2023, indicating a slower conversion of accounts receivable into cash.

Receivables Turnover Trend
The turnover ratio remained relatively stable throughout 2022, fluctuating between 5.62 and 5.73. A peak in efficiency was recorded in March 2023, where the ratio reached 5.96. Following this peak, a consistent downward trajectory was observed, with the ratio declining to a low of 5.10 by December 2025. In the first half of 2026, the ratio demonstrated signs of stabilization, maintaining a range between 5.22 and 5.24.
Average Receivable Collection Period
The collection period showed minimal variance during 2022, oscillating between 64 and 65 days. An improvement in collection speed occurred in early 2023, with the period dropping to a minimum of 61 days in March. However, from September 2023 onward, a steady increase in the number of days required to collect receivables was observed, rising from 64 days to a peak of 72 days by December 2025. The metric subsequently leveled off at 70 days through June 2026.
Correlation and Operational Insights
A strong inverse correlation exists between the receivables turnover ratio and the average collection period. The transition from a 61-day collection cycle in March 2023 to a 70-to-72 day cycle in late 2025 represents a moderate increase in the duration of the credit-to-cash cycle. This trend suggests a shift in customer payment behavior or a potential loosening of credit terms, resulting in a less aggressive collection cadence compared to the 2022-2023 period.

Operating Cycle

Verizon Communications Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
AT&T Inc.
T-Mobile US 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
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits a period of initial contraction followed by a moderate expansion and subsequent stabilization. The overall duration of the cycle is primarily driven by the time required to collect receivables, while inventory processing contributes a significantly smaller portion to the total timeframe.

Average Inventory Processing Period
A general downward trend in inventory holding times is observed between March 2022 and June 2023, where the period decreased from 23 days to a low of 12 days. Following this period of optimization, the processing time fluctuated between 12 and 18 days, eventually stabilizing around 13 to 15 days toward the end of the analyzed period. This suggests an improvement in inventory turnover efficiency compared to the start of 2022.
Average Receivable Collection Period
The collection period demonstrates a gradual and consistent upward trend. Starting at 64 days in March 2022, the period experienced a slight dip to 61 days in March 2023 before steadily climbing to a peak of 72 days by December 2025. This indicates a slowing of cash inflows from credit sales, as the average time to collect payments increased by approximately 6 to 8 days over the long term.
Operating Cycle
The total operating cycle fluctuated within a range of 75 to 88 days. An initial decline was recorded from March 2022 (87 days) to June 2023 (75 days), driven by rapid improvements in inventory processing. However, this gain was offset by the lengthening receivable collection period, leading the cycle to trend upward again toward the mid-80s. By June 2026, the cycle settled at 83 days, reflecting a relative equilibrium between the efficiencies gained in inventory management and the delays in receivable collections.