Stock Analysis on Net

Mastercard Inc. (NYSE:MA)

$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)

Mastercard 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
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-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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31).


Receivables Turnover
The receivables turnover ratio displays considerable fluctuations over the observed periods. Beginning with values around 6.1 in early 2019, it rises significantly to peaks such as 20.66 in Q3 2021 and 21.23 in Q4 2022. The pattern suggests an overall increasing efficiency in collecting receivables, despite some dips, notably a sharp drop to 5.64 in Q1 2020. The increasing trend post-2020 signifies enhanced management of receivables.
Payables Turnover
The payables turnover ratio follows a similar fluctuating pattern with substantial volatility. It starts around 6.83 in Q1 2019, experiences a peak of 35.86 in Q3 2021, and remains generally higher after this period compared to earlier years. There are notable declines around early 2020 and subsequent quarters, but the sharp increases especially in 2021 reveal a strategic acceleration in paying off liabilities or possible changes in credit terms.
Working Capital Turnover
The working capital turnover ratio initially exhibits modest values near 3.27 to 3.94 in 2019, drops to a low near 1.72 in Q3 2020, and then progressively improves reaching 9.13 in Q3 2023. This upward trend reflects increasing efficiency in generating sales from working capital, possibly due to operational improvements or optimization of current assets and liabilities management.
Average Receivable Collection Period
The average receivable collection period shows an inverse relationship with receivables turnover, decreasing from around 60 days in early 2019 to as low as 17-20 days in 2022-2023. This denotes quicker collection of accounts receivable, contributing to improved cash flow and operational liquidity.
Average Payables Payment Period
The average payables payment period varies between roughly 53 days in Q1 2019 to lows of about 10-14 days in 2021 and 2023. This reduction suggests faster payment cycles to suppliers, which could imply strategic shifts toward strengthening supplier relationships or responding to changing credit conditions.
Overall Insights
The data illustrates a clear trend of improving efficiency in managing receivables and payables over the period analyzed. Both receivables turnover and payables turnover ratios have increased substantially, indicating accelerated collections and payments. Concurrently, the declining average collection and payment periods confirm the trend toward brisker working capital cycles. Additionally, the rising working capital turnover ratio suggests better utilization of working capital to generate revenue. These trends collectively point toward enhanced operational effectiveness and liquidity management over time.

Turnover Ratios


Average No. Days


Receivables Turnover

Mastercard 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
Selected Financial Data (US$ in millions)
Net revenue
Settlement assets
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-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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31).

1 Q1 2023 Calculation
Receivables turnover = (Net revenueQ1 2023 + Net revenueQ4 2022 + Net revenueQ3 2022 + Net revenueQ2 2022) ÷ Settlement assets
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several notable trends and fluctuations over the examined periods.

Net Revenue
Net revenue demonstrated a variable but generally upward trend from the first quarter of 2018 through the first quarter of 2023. Starting at 3,580 million USD in March 2018, it experienced moderate growth and some fluctuations, reaching peaks in the fourth quarters of 2019 and 2021. A notable dip occurred in 2020 during the mid-year period, with revenue declining to a low of 3,335 million USD in June 2020, likely reflecting market or economic disruptions. Subsequently, revenue steadily recovered and increased, peaking at 5,817 million USD in December 2022, before a slight decline to 5,748 million USD in March 2023. Overall, the pattern indicates resilience and growth in revenue over the five-year span, with a temporary downturn likely linked to external factors affecting mid-2020 performance.
Settlement Assets
Settlement assets displayed significant volatility throughout the periods. After starting at 1,531 million USD in March 2018, the metric showed alternating increases and decreases, with a pronounced jump to 2,452 million USD in December 2018 and another peak at 2,995 million USD in December 2019. Following this, the value declined sharply in 2020, reaching a low point of 861 million USD in June 2021. The subsequent quarters saw relatively lower and fluctuating values, stabilizing somewhat between approximately 1,000 and 1,300 million USD in 2022 and early 2023. These swings suggest variability in the volume or value of settlement assets, potentially aligned with broader market conditions or operational changes during the periods involved.
Receivables Turnover
The receivables turnover ratio data is partially available starting from June 2018. This ratio exhibits fluctuating values, generally increasing over time but with several notable short-term declines. Initial values oscillated between approximately 6.0 and 11.0 from mid-2018 into early 2019, followed by spikes reaching above 17.0 from late 2020 through early 2023. Peaks were observed particularly in mid-2021 and mid-2022 with values around 20.0 and above, indicating more efficient collection of receivables during these quarters. However, downward movements also occurred intermittently, illustrating some inconsistency. Overall, the trend points to improving receivables management efficiency on average over the dataset period.

In summary, net revenue has grown strongly with some cyclical variation and a marked recovery post-2020. Settlement assets have been highly volatile, lacking a clear long-term trend but showing lower levels in recent quarters. Receivables turnover shows an overall positive trend with increased efficiency but remains variable on a quarter-to-quarter basis. Together, these patterns indicate growth and resilience amid fluctuating operational asset levels and improved receivables performance over time.


Payables Turnover

Mastercard 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
Selected Financial Data (US$ in millions)
Net revenue
Settlement obligations
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-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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31).

1 Q1 2023 Calculation
Payables turnover = (Net revenueQ1 2023 + Net revenueQ4 2022 + Net revenueQ3 2022 + Net revenueQ2 2022) ÷ Settlement obligations
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The net revenue displays a general upward trend over the analyzed quarterly periods, with some notable fluctuations. Beginning at 3,580 million USD in the first quarter of 2018, revenue increases steadily to exceed 5,000 million USD starting from the first quarter of 2021. The peak revenue is recorded in the fourth quarter of 2021 at 5,216 million USD, followed by moderate decreases and recoveries through the subsequent quarters, stabilizing around 5,700 million USD by the first quarter of 2023.

Settlement obligations exhibit significant volatility during the period. Early quarters from 2018 through early 2019 range roughly between 1,150 and 2,700 million USD, with a prominent spike to 2,714 million USD reported in the last quarter of 2019. This is followed by a sharp decline in early 2021 to below 600 million USD and a fluctuating recovery thereafter, ending near 870 million USD in the first quarter of 2023. The high variability suggests changes in transactional volumes or timing of settlements impacting this metric substantially.

The payables turnover ratio, available intermittently from the fourth quarter of 2018 onwards, demonstrates an increasing trend overall, reflecting enhanced efficiency in settling obligations. Starting at a ratio of 6.83, it reaches a peak of 36.37 in the fourth quarter of 2022. This growth indicates a more rapid turnover of payables, although the ratio shows periodic decreases, for instance, dropping to 20.53 in the third quarter of 2022 before rising again. Such fluctuations may relate to variations in payment terms or operational cash management strategies.

Net Revenue
Generally increasing over time with peaks and moderate fluctuations post-2021.
Settlement Obligations
Highly volatile with significant peaks and troughs, indicating variability in settlement activities.
Payables Turnover Ratio
Overall upward trend suggesting improving payable management efficiency, despite some variability.

Working Capital Turnover

Mastercard 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
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Net revenue
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-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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31).

1 Q1 2023 Calculation
Working capital turnover = (Net revenueQ1 2023 + Net revenueQ4 2022 + Net revenueQ3 2022 + Net revenueQ2 2022) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Working Capital
The working capital values exhibit a fluctuating trend over the analyzed periods. Initially, there is a general decline from 5,759 million US dollars in March 2018 to a low of 3,787 million US dollars by December 2021, indicating potential tightening of short-term liquidity. Notably, there is a significant spike in working capital at the beginning of 2020, reaching 9,458 million US dollars in June 2020, followed by a decline in the subsequent quarters. More recently, from March 2022 to March 2023, working capital continues to remain relatively low and stable, fluctuating from 4,025 million to 2,769 million US dollars, suggesting a cautious approach in capital management.
Net Revenue
Net revenue generally shows an upward trajectory throughout the periods with some volatility. Starting at 3,580 million US dollars in March 2018, net revenue climbs gradually, reaching a peak of 5,817 million US dollars by December 2022. There is a noticeable dip in mid-2020, aligning with the global economic disruptions, where revenue drops from 4,009 million in March 2020 to 3,335 million in June 2020. However, a strong recovery follows, with consistent increases quarter over quarter through 2021 and 2022. By March 2023, the net revenue slightly declines to 5,748 million US dollars but remains significantly higher than earlier periods.
Working Capital Turnover
The working capital turnover ratio presents an insightful pattern of operational efficiency relative to working capital use. Data beginning in September 2018 shows ratios fluctuating mostly between roughly 3.3 and 3.9 until the end of 2019, then substantially declining during 2020 with values as low as 1.72 in June 2020, reflecting decreased efficiency and possibly the impact of external market conditions. Subsequently, there is a strong recovery trend from early 2021 onward, with the ratio increasing steadily, reaching as high as 9.13 in March 2023. This rising turnover ratio, particularly in recent period, indicates improved efficiency in utilizing working capital to generate revenue despite the lower absolute working capital figures.
Summary Insights
The financial data reveal a complex interplay between working capital levels, revenue generation, and operational efficiency. The initial decline in working capital alongside rising revenues suggests improved capital usage, a notion reinforced by increasing working capital turnover ratios in recent years. The sharp dip in both revenue and turnover during 2020 corresponds with general economic challenges, but the subsequent rebound points to effective recovery strategies. The maintained high turnover ratio despite relatively low working capital in 2022 and early 2023 emphasizes optimized asset management and a strong revenue generation capability.

Average Receivable Collection Period

Mastercard 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
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-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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31).

1 Q1 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The data reflects significant fluctuations in both the receivables turnover ratio and the average receivable collection period over the reported quarters. These two metrics demonstrate an inverse relationship, as expected, with changes in turnover generally corresponding to opposite changes in collection days.

Receivables Turnover Ratio
The receivables turnover ratio shows a varied pattern beginning from the first reported value in March 31, 2018. Initially, the ratio was moderate but exhibited noticeable increases and decreases over time. For instance, it rose from 6.1 in March 2018 to peaks above 17 between late 2020 and 2021, indicating periods of improved collection efficiency. The highest values occurred in March and June 2021, reaching above 20, which suggests significantly faster turnover of receivables during these periods. However, the ratio also experienced declines, particularly noticeable toward late 2019 and early 2020, reflecting slower collections.
Average Receivable Collection Period (Days)
The average collection period data aligns with the turnover ratio trends but in the opposite direction. Collection days decreased considerably from 60 days in March 2018 to as low as 17 days by the end of 2022, denoting improved collection speed over the years. The sharpest improvements occurred between mid-2018 and mid-2021, where the average collection period dropped from over 60 days to below 20 days. Some fluctuations are evident, such as temporary increases to around 41 days in late 2020 and slight rises in early 2023, but the overall trend points to faster receivable collections.

Overall, the data demonstrates a trend toward more efficient receivable management over the reported timeline, with the company achieving faster turnover and shorter collection periods. This improvement indicates enhanced liquidity and potentially better cash flow management in recent years. Periods of volatility, especially around 2019 and early 2020, may correlate with external factors or changes in operational conditions but were followed by marked recovery and continuing positive trends.


Average Payables Payment Period

Mastercard 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
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-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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-K (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31).

1 Q1 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the payables turnover ratio over the quarterly periods indicates noticeable fluctuations and an overall increasing trend from 2018 to early 2023. Initially, the turnover was recorded at 6.83 in March 2019, rising sharply to values above 10 in several quarters, peaking notably at 35.86 in June 2021. This peak suggests significantly faster payment cycles during that period. Following this high point, the turnover ratio experienced a decrease but maintained a relatively high level compared to earlier years, with values oscillating between 20 and 36 until March 2023.

Correspondingly, the average payables payment period, expressed in days, shows an inverse relationship with payables turnover. The number of days initially stood at 53 in March 2019 and decreased markedly to a low of 10 days in June 2021 and December 2021. This reduction signifies quicker payment processing during these quarters, aligning with the increase observed in the payables turnover ratio. Post these lows, the payment period increased slightly but remained relatively short, ranging from 12 to 18 days towards the end of the period analyzed.

These patterns suggest a strategic shift in the company's payment practices, moving towards faster settlement of payables particularly in 2021. This could reflect improved liquidity management or changes in supplier negotiation terms. The sustained higher turnover and lower payment periods after these changes indicate that the company maintained an emphasis on efficient payables management through early 2023.