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
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 activity ratios indicates a divergent trend between inventory efficiency and receivables management. While the speed of inventory turnover has improved significantly, there has been a gradual deceleration in the collection of receivables, resulting in a stabilized yet slightly elevated operating cycle in the latter half of the observed period.

Inventory Efficiency
A marked increase in inventory turnover is observed, rising from 15.61 in March 2022 to a peak of 29.87 in June 2023, before settling at 24.73 by March 2026. This improvement is reflected in the average inventory processing period, which declined from 23 days to 15 days. These figures suggest a more optimized inventory management strategy and a reduction in the duration that assets remain in stock.
Receivables Management
Receivables turnover demonstrates a steady, slight downward trend, decreasing from 5.69 in March 2022 to 5.22 in March 2026. Consequently, the average receivable collection period has lengthened from 64 days to 70 days. This pattern indicates a marginal slowdown in the conversion of credit sales into cash.
Operating Cycle Dynamics
The total operating cycle reflects the combined impact of inventory and receivables turnover. A period of maximum efficiency was reached in June 2023, with the cycle dropping to 75 days. However, the cycle subsequently widened, fluctuating between 82 and 88 days from late 2023 through March 2026. The recent stability of the cycle at approximately 85 days is primarily attributable to the increase in the collection period offsetting the gains made in inventory processing speed.

Turnover Ratios


Average No. Days


Inventory Turnover

Verizon Communications 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 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: 2026-03-31), 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 services and wireless equipmentQ1 2026 + Cost of services and wireless equipmentQ4 2025 + Cost of services and wireless equipmentQ3 2025 + Cost of services and wireless equipmentQ2 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Analysis of inventory turnover reflects a significant transition toward leaner operational management and improved asset utilization between March 2022 and March 2026.

Inventory Turnover Trends
A substantial increase in turnover efficiency is observed, with the ratio rising from 15.61 in March 2022 to a peak of 29.87 in June 2023. Following this period of rapid growth, the ratio stabilized within a range of 20.67 to 29.31, indicating a permanent shift toward higher inventory velocity compared to the initial 2022 baseline.
Inventory Level Management
Inventory levels exhibited a clear downward trajectory during the first half of the analyzed period, falling from 3,659 million in March 2022 to a low of 1,841 million by June 2024. This reduction in held stock, occurring while costs of services remained relatively stable or increased, suggests a strategic optimization of supply chain processes and a successful reduction in excess equipment holdings.
Seasonal Cost Volatility
Cost of services and wireless equipment demonstrates recurring seasonal peaks every December, with the most significant expenditure recorded in December 2025 at 16,478 million. These peaks correlate with periodic fluctuations in the turnover ratio, reflecting the cyclical nature of wireless equipment demand and the subsequent impact on inventory depletion rates.
Operational Stability
From 2024 through early 2026, the relationship between inventory levels and cost of services reached a state of relative equilibrium. The turnover ratio maintained a consistent floor above 20.0, suggesting that the operational improvements achieved in 2023 have been sustained over the long term.

Receivables Turnover

Verizon Communications 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)
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: 2026-03-31), 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 = (Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025 + Operating revenuesQ2 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of receivables turnover reveals a gradual decline in the efficiency of converting outstanding accounts into cash. While operating revenues remained relatively stable with moderate fluctuations, there was a consistent increase in the balance of net accounts receivable, which exerted downward pressure on the turnover ratio over the observed period.

Operating Revenue Patterns
Operating revenues exhibited a pattern of stability with slight periodic growth, fluctuating primarily between 32.5 billion and 36.4 billion US dollars. A peak in revenue was observed in December 2025 at 36.38 billion US dollars, indicating that top-line growth remained modest and did not accelerate significantly enough to offset the growth in outstanding receivables.
Net Accounts Receivable Trends
A steady upward trend in net accounts receivable is observed, increasing from 23.62 billion US dollars in March 2022 to 26.66 billion US dollars by March 2026. This increase suggests either an expansion in the credit extended to customers or a lengthening of the collection cycle.
Receivables Turnover Performance
The receivables turnover ratio peaked at 5.96 in March 2023, after which a sustained downward trajectory began. The ratio transitioned from an initial range of 5.6 to 5.9 in 2022 and early 2023 to a lower range of 5.1 to 5.3 between June 2023 and March 2026. The minimum value of 5.10 was reached in December 2025. This decline indicates a reduction in the frequency with which the company collects its average receivables balance per year, reflecting a potential deterioration in short-term liquidity efficiency.

Working Capital Turnover

Verizon Communications 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
 
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: 2026-03-31), 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 = (Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025 + Operating revenuesQ2 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


A consistent pattern of negative working capital is observed throughout the analyzed period, indicating that current liabilities consistently exceed current assets. Operating revenues remain relatively stable, fluctuating within a narrow range, which suggests a steady top-line performance despite significant volatility in the short-term capital structure.

Working Capital Trends
The working capital position exhibits a general trend toward a deepening deficit. From March 2022 through December 2023, the negative balance expanded from -11.0 billion to -16.4 billion. A further intensification is noted in mid-2024, with the deficit reaching -22.7 billion in June. While a sharp and temporary improvement occurred in December 2025, where the deficit contracted to -5.4 billion, the position reverted to its most significant deficit of -25.2 billion by March 2026.
Revenue Stability and Turnover Dynamics
Operating revenues demonstrate high stability, maintaining a range between approximately 32.6 billion and 36.4 billion. Because the revenue stream is consistent while working capital varies significantly, the resulting working capital turnover reflects extreme volatility. The negative turnover ratios indicate a business model that relies on short-term liabilities to fund operations. The magnitude of the turnover ratio decreased as the working capital deficit widened, signifying that a larger volume of short-term funding is being utilized relative to the generated revenue.
Operational Liquidity Insights
The persistent negative working capital suggests an aggressive liquidity strategy, potentially characterized by the efficient use of supplier credit or a high volume of deferred revenues. However, the substantial widening of the deficit toward the end of the period, specifically the sharp shift between December 2025 and March 2026, suggests a significant increase in short-term obligations or a reduction in current assets that is not mirrored by an increase in operating revenues.

Average Inventory Processing Period

Verizon Communications 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.
T-Mobile US 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.


An analysis of short-term operating activity reveals a significant optimization in inventory management efficiency from the first quarter of 2022 through the first quarter of 2026. The observed period is characterized by an initial sharp increase in turnover velocity, followed by a phase of cyclical stability.

Inventory Turnover Trends
The inventory turnover ratio demonstrated a substantial upward trajectory during 2022, rising from 15.61 in March to 24.76 by December. A peak of 29.87 was achieved in June 2023, indicating heightened efficiency in converting inventory into sales. While subsequent quarters exhibited volatility—most notably a dip to 21.31 in September 2024—the ratio generally remained elevated compared to the 2022 baseline, concluding at 24.73 in March 2026.
Average Inventory Processing Period
Correspondingly, the average inventory processing period decreased from 23 days in the first half of 2022 to a minimum of 12 days in June 2023 and again in June 2024. This reduction indicates a more streamlined supply chain and faster inventory throughput. From late 2023 through early 2026, the processing period fluctuated within a relatively narrow band between 12 and 18 days, ultimately stabilizing at 15 days by March 2026.
Operational Correlation and Seasonality
A consistent inverse correlation exists between the turnover ratio and the processing period. Cyclical peaks in turnover observed in June of 2023 and 2024 suggest a seasonal acceleration in inventory movement. The long-term trend reflects a structural improvement in operating activity, as the processing period transitioned from a 23-day average in early 2022 to a sustained 14-16 day range in the following years.

Average Receivable Collection Period

Verizon Communications 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.
T-Mobile US 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 progressive deceleration in the efficiency of receivable collections over the observed period. An inverse correlation is evident between the receivables turnover ratio and the average collection period, reflecting a general decline in the speed of cash conversion starting in early 2023.

Receivables Turnover Trends
The turnover ratio maintained relative stability throughout 2022, fluctuating between 5.58 and 5.73. A peak in efficiency was reached in March 2023 with a ratio of 5.96. Subsequently, a consistent downward trajectory was observed, with the ratio declining to a low of 5.10 by December 2025 before showing a slight recovery to 5.22 in March 2026. This decline indicates that receivables are being turned over less frequently.
Average Receivable Collection Period
The collection period mirrored the turnover trend, starting at 64 days in March 2022 and reaching a minimum of 61 days in March 2023. Following this period of peak efficiency, the collection timeframe lengthened steadily, peaking at 72 days in December 2025. The most recent data point as of March 2026 indicates a stabilization at 70 days.
Operational Observations
The expansion of the collection cycle from a low of 61 days to a high of 72 days represents a notable increase in the time required to convert credit sales into cash. This trend suggests a weakening in the velocity of cash inflows from customers and a potential shift in the effectiveness of credit collection policies or changes in customer payment behavior over the analyzed timeframe.

Operating Cycle

Verizon Communications 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.
T-Mobile US 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 operating cycle exhibits a period of initial optimization followed by a slight expansion and subsequent stabilization. The overall duration of the cycle fluctuates within a range of 75 to 88 days, reflecting the combined efficiency of inventory management and receivable collection processes.

Average Inventory Processing Period
A notable reduction in inventory processing time occurred between March 2022 and June 2023, during which the period decreased from 23 days to 12 days. Following this decline, the processing period remained relatively stable, fluctuating between 12 and 18 days through March 2026. This indicates a significant improvement in inventory turnover efficiency during the first half of the analyzed period, which was largely maintained thereafter.
Average Receivable Collection Period
The receivable collection period represents the primary driver of the total operating cycle length. While the period remained relatively stable between 61 and 65 days from March 2022 to September 2023, a gradual upward trend emerged starting in December 2023. The collection period reached a peak of 72 days in September 2025 and concluded at 70 days in March 2026, suggesting a slight deceleration in the conversion of accounts receivable into cash.
Operating Cycle
The total operating cycle reached its minimum of 75 days in June 2023, coinciding with the lowest observed values for both inventory processing and receivable collection. Subsequent to this point, the cycle trended upward and stabilized within the 82 to 88-day range. The modest increase in the overall cycle length during the latter half of the period is primarily attributable to the extension of the receivable collection period, which offset the gains achieved through more efficient inventory processing.