Stock Analysis on Net

Visa Inc. (NYSE:V)

$22.49

This company has been moved to the archive! The financial data has not been updated since April 27, 2023.

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019 Dec 31, 2018 Sep 30, 2018 Jun 30, 2018 Mar 31, 2018 Dec 31, 2017 Sep 30, 2017 Jun 30, 2017 Mar 31, 2017 Dec 31, 2016
Turnover Ratios
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average receivable collection period
Average payables payment period

Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-K (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31).


The analysis of the quarterly financial ratios and periods for the specified timeframe reveals several notable trends across payables, receivables, and working capital management.

Receivables Turnover
The receivables turnover ratio exhibits volatility over the reported periods, with several sharp fluctuations. It declined significantly from a high around 12.91 to a low near 6.81, indicating periods of slower collection efficiency. However, subsequent quarters show recovery with values rebounding above 13.0 multiple times. In recent periods, the ratio stabilizes in the mid to high teens, suggesting improved and consistent receivables collection in the later years.
Payables Turnover
The payables turnover ratio similarly demonstrates variability, reflecting changes in the rate at which the company settles its payables. Early periods show a drop from approximately 9.17 down to values near 5.46. The ratio then improves with spikes reaching above 12 in some quarters, but generally fluctuates within a range of about 8 to 11 thereafter. This pattern indicates inconsistent but sometimes accelerated payment behavior toward suppliers.
Working Capital Turnover
The working capital turnover ratio displays a distinct changing pattern. Initially, it increases from around 2.03 to a peak of nearly 4.96 and then further to above 6.0, suggesting periods of enhanced efficiency in utilizing working capital for revenue generation. However, there is a significant subsequent decline to below 1.6 in some quarters, indicating less efficient use of working capital during those times. Toward the end of the reported data, the ratio shows signs of recovery and stabilization around 3.0 to 3.5, illustrating an improvement in asset utilization.
Average Receivable Collection Period
The average receivable collection period demonstrates significant fluctuations, ranging between 21 and 54 days. Periods of lengthening collection times (near 50+ days) correspond with quarters of lower receivables turnover, reflecting slower cash inflows from customers. Conversely, shorter collection periods near or below the high twenties correspond with higher turnover ratios, indicating more effective receivables management during these times.
Average Payables Payment Period
The average payables payment period exhibits variability, with days payable rising from approximately 29 up to around 67 days and later settling between 33 and 43 days. Longer payment periods correspond with lower payables turnover ratios, implying delayed payments to suppliers. Shorter payment intervals correspond with higher turnover ratios, indicating faster settlement of payables. This indicates a flexible payment strategy possibly aligned with cash flow management considerations.

Overall, the data illustrate that the company experiences volatility in operational efficiency metrics related to receivables, payables, and working capital across quarters. The trends suggest periods of both tightening and loosening in credit management and payment cycles, potentially reflecting seasonal business cycles or changing internal policies. Recent quarters indicate a tendency toward more stable and improved turnovers and more consistent collection and payment periods, signifying enhanced financial management effectiveness.


Turnover Ratios


Average No. Days


Receivables Turnover

Visa Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019 Dec 31, 2018 Sep 30, 2018 Jun 30, 2018 Mar 31, 2018 Dec 31, 2017 Sep 30, 2017 Jun 30, 2017 Mar 31, 2017 Dec 31, 2016
Selected Financial Data (US$ in millions)
Net revenues
Settlement receivable
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc.
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
Salesforce Inc.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-K (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31).

1 Q2 2023 Calculation
Receivables turnover = (Net revenuesQ2 2023 + Net revenuesQ1 2023 + Net revenuesQ4 2022 + Net revenuesQ3 2022) ÷ Settlement receivable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of the data reveals distinct patterns and fluctuations in net revenues, settlement receivables, and receivables turnover ratio over the observed quarterly periods.

Net Revenues
Net revenues show an overall increasing trend from approximately 4,461 million USD at the end of 2016 to nearly 7,985 million USD by the first quarter of 2023. Despite this upward trajectory, several fluctuations are evident. For example, revenues remained relatively stable between 2016 and 2017 with modest quarter-to-quarter increases. A notable decline appears around the first three quarters of 2020, coinciding with 4,837 million USD in the last quarter of 2019 dropping to a low of 4,837 million USD and slightly recovering afterwards. Subsequently, there is a robust and steady increase from late 2020 into 2023, peaking in early 2023. This likely signifies recovery and strong growth phases after the 2020 downturn.
Settlement Receivables
Settlement receivables exhibit considerable volatility without a consistent directional trend. Values spike significantly in some periods, such as from 1,333 million USD at the end of 2016 to 3,350 million USD in Q1 2017, then oscillate between lower and higher amounts thereafter. Periods including late 2017, late 2018, and towards late 2019 show notable increases in settlement receivables, crossing thresholds of 3,000 million USD. Following this, the figures decrease around early 2020, then fluctuate in 2021 and 2022 within a narrower but still variable range approximately from 1,600 to 1,900 million USD. The instability in settlement receivables suggests variability in transactional volumes or timing of settlements, possibly influenced by external economic or operational factors.
Receivables Turnover Ratio
The receivables turnover ratio, recorded from the second quarter of 2017 onwards, reveals cyclical changes across the quarters. The ratio often fluctuates between approximately 7 and 17 times, indicating variations in efficiency related to the collection of receivables. Higher ratios, such as those around 16-17 times in mid-2020 and certain quarters of 2021 and 2022, point to more effective collection and faster turnover of receivables. Conversely, dips to values near 6.8 to 7.7 suggest slower turnover periods. No clear long-term trend is evident, but periodic spikes and declines could relate to seasonal factors, business cycles, or changes in credit policies.

Payables Turnover

Visa Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019 Dec 31, 2018 Sep 30, 2018 Jun 30, 2018 Mar 31, 2018 Dec 31, 2017 Sep 30, 2017 Jun 30, 2017 Mar 31, 2017 Dec 31, 2016
Selected Financial Data (US$ in millions)
Net revenues
Settlement payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Accenture PLC
Adobe Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
ServiceNow Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-K (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31).

1 Q2 2023 Calculation
Payables turnover = (Net revenuesQ2 2023 + Net revenuesQ1 2023 + Net revenuesQ4 2022 + Net revenuesQ3 2022) ÷ Settlement payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data reveals several noteworthy trends regarding the company's quarterly performance over the observed period.

Net Revenues
Net revenues exhibit a general upward trend from December 31, 2016, through March 31, 2023. Starting at 4,461 million USD, revenues steadily increased with some fluctuations, reaching 7,985 million USD by March 31, 2023. Notably, a decline is visible in the quarters around mid-2020, possibly reflecting external challenges, followed by a recovery and continued growth thereafter.
Settlement Payable
Settlement payable amounts fluctuate significantly across the quarters without a clear directional trend. Initial values of 2,059 million USD in late 2016 move erratically, peaking at 4,277 million USD at the end of 2019 and then experiencing multiple ups and downs through to March 2023. This volatility suggests variability in the timing and magnitude of payables settlements, which may be linked to operational or transactional cycles rather than long-term trends.
Payables Turnover
The payables turnover ratio shows considerable variation quarter-to-quarter. Early available data points (from June 30, 2017) indicate ratios generally oscillating between approximately 5.5 and 12.78. The ratio reflects the efficiency in paying off suppliers; higher peaks, such as on June 30, 2020 (12.78), suggest faster payments in certain periods. However, no consistent upward or downward trend is clearly distinguishable, and fluctuations may correspond to changes in payable balances or cash management strategies over time.

Overall, net revenues demonstrate a clear growth trajectory despite periodic interruptions, while settlement payables and payables turnover ratios exhibit volatility without consistent trends. The disparity between steady revenue growth and fluctuating payables metrics could indicate shifting operational dynamics or payment practices within the company during the analyzed timeframe.


Working Capital Turnover

Visa Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019 Dec 31, 2018 Sep 30, 2018 Jun 30, 2018 Mar 31, 2018 Dec 31, 2017 Sep 30, 2017 Jun 30, 2017 Mar 31, 2017 Dec 31, 2016
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Net revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Accenture PLC
Adobe Inc.
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
Salesforce Inc.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-K (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31).

1 Q2 2023 Calculation
Working capital turnover = (Net revenuesQ2 2023 + Net revenuesQ1 2023 + Net revenuesQ4 2022 + Net revenuesQ3 2022) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Working Capital
The working capital showed a generally increasing trend from the end of 2016 through 2019, with values rising from approximately $4.3 billion to $7.5 billion. However, a significant decline is observed at the end of 2019 into early 2020, dropping to around $4.7 billion. This is followed by a notable recovery and steady growth throughout the remainder of 2020 and 2021, reaching peaks above $14 billion in late 2020 and early 2021. Subsequently, there is a downward adjustment starting early 2022, with working capital falling to levels between approximately $5.3 billion and $9.3 billion by early 2023. The fluctuations indicate periods of both capital expansion and contraction, likely reflecting operational and external factors affecting liquidity management.
Net Revenues
Net revenues demonstrated a consistent upward trajectory over the analysis period. Beginning in late 2016 at $4.5 billion, revenues incrementally increased to exceed $7.9 billion by early 2023. This growth was relatively steady across quarters, with only a brief flattening and slight dip noted around early to mid-2020, possibly correlating with external market disruptions. Despite this, revenues recovered steadily afterward, underscoring resilience and continuous demand for the company’s services. The overall trend reflects steady business expansion and effective revenue generation strategies.
Working Capital Turnover Ratio
The working capital turnover ratio reveals significant variability during the reported periods. Initial available data from mid-2017 to end 2019 showed a ratio range from 2.03 to 3.16, indicating moderate efficiency in using working capital to generate revenues. A remarkable spike occurred at the end of 2019 and into early 2020, with the ratio surging to as high as nearly 6.0, suggesting a spike in revenue relative to working capital or a dip in working capital itself. After this peak, the ratio sharply declined through 2020 and early 2021, falling to below 1.7, signaling potential constraints in capital utilization or increased capital levels relative to revenues. From late 2021 onward, the ratio rose again, stabilizing between values of approximately 3.1 and 5.0, indicating improved working capital efficiency in conjunction with the revenue growth. This pattern implies dynamic working capital management adapted to changing business conditions over the period.
Summary Insights
The financial data presents a company experiencing steady revenue growth alongside fluctuating working capital levels and efficiency. The initial rise in working capital and revenues from 2016 to 2019 implies business expansion. The sharp shifts in working capital and turnover ratios around 2019-2020 highlight a period of adjustment likely attributable to significant external factors impacting liquidity and operational efficiency. Post-2020 recovery trends show improved capital management aligning with resumed revenue growth. Overall, the company displays resilience with maintained revenue momentum and adaptive capital utilization strategies that respond effectively to changing economic conditions.

Average Receivable Collection Period

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

Microsoft Excel
Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019 Dec 31, 2018 Sep 30, 2018 Jun 30, 2018 Mar 31, 2018 Dec 31, 2017 Sep 30, 2017 Jun 30, 2017 Mar 31, 2017 Dec 31, 2016
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Adobe Inc.
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
Salesforce Inc.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-K (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31).

1 Q2 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Receivables Turnover Trend
The receivables turnover ratio exhibits significant fluctuations over the observed periods. Starting from a value of 12.91, it declines to a low point of 6.81, then oscillates between higher peaks such as 17.28 and lows around 7.19. Over the most recent periods, the ratio appears to stabilize and moderately improve, generally remaining above 14. This indicates variability in how efficiently receivables are collected, with periods of both strong and weaker turnover performance.
Average Receivable Collection Period Trend
The average receivable collection period inversely mirrors the trend in turnover ratio as expected. Initial periods show a moderate collection time of 28 to 31 days, which sharply increases to as high as 54 days, signaling slower collections. Following these peaks, the collection period drops back to a range generally between 21 and 27 days in the later periods. This suggests periods of extended credit collection early on, improving to faster collections more recently.
Relationship and Patterns
There is a clear inverse relationship between receivables turnover and the average collection period. Periods with lower turnover correspond to longer average collection days, indicating delayed collections, while periods with higher turnover ratios align with shorter collection periods, indicating more efficient receivable management. The data suggests some operational improvements or external influences that allowed collection efficiency to recover and stabilize in recent years.
Summary of Financial Receivables Management
The data reveals volatility in receivables management efficiency across the periods. Early signs of increasing collection days and decreasing turnover may reflect external challenges or changes in credit policy. The subsequent improvement toward reduced collection days and elevated turnover ratios indicates a recovery phase, contributing to improved liquidity and working capital management. The trend toward stabilization implies the implementation of effective credit control measures or favorable market conditions supporting receivables performance.

Average Payables Payment Period

Visa Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019 Dec 31, 2018 Sep 30, 2018 Jun 30, 2018 Mar 31, 2018 Dec 31, 2017 Sep 30, 2017 Jun 30, 2017 Mar 31, 2017 Dec 31, 2016
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Accenture PLC
Adobe Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
ServiceNow Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-K (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-Q (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31).

1 Q2 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The payables turnover ratio exhibits notable fluctuations over the observed periods, indicating variability in the efficiency of managing payables. Starting from a value of 9.17, it declines to a low of 6.34 before rising sharply to peaks such as 12.78 and 12.58, then moderating to values slightly above 8 towards the most recent quarters. This pattern suggests episodic changes in payment velocity, potentially reflecting shifts in operational cycles or supplier terms.

Correspondingly, the average payables payment period inversely mirrors the payables turnover ratio, varying between approximately 29 and 67 days. Periods of high payables turnover are associated with days payable outstanding around 29 to 35 days, while lower turnover ratios coincide with longer payment periods up to 67 days. This inverse relationship indicates that when payables are settled more quickly, payment periods shorten, whereas slower turnover results in extended periods.

The data reveal some pronounced volatility, for example, a sharp increase in the payables payment period to 67 days is paired with a steep decline in turnover to 5.46, highlighting a moment of slower payment activity. Conversely, rapid turnover periods correspond to payment terms near the lower end of the range, reflecting more efficient cash disbursement cycles during those quarters.

Overall, the trends imply that the company's payables management has experienced intermittent variations in liquidity and payment practices over time. While periods of increased turnover and shorter payment days suggest strong cash management and operational efficiency, the occasional elongation in payment terms points to possible strategic or market-driven adjustments in supplier payment timing.