Mastercard (MA) Change in Accrued Expenses (2009 - 2026)
Mastercard (MA) posted Change in Accrued Expenses of $872 million for Q3 2026, up 1.3% from $861 million a year earlier and up 16.4% from the prior quarter.
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Analysis
Mastercard (MA) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Mastercard was $2.84 billion, up 80.3% year-over-year; for FY2025, it was $1.84 billion, up 15.7% from FY2024.
- In prior years, Mastercard's Change in Accrued Expenses was $1.59 billion in FY2024 (+177.9%), $571 million in FY2023 (-51.9%), $1.19 billion in FY2022 (-12.3%) and $1.36 billion in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$784 million in Q1 2025 to a high of $1.18 billion in Q4 2025 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in four of the last five quarters, with growth averaging 22.3%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q2 2022, with growth of 144.2%; the weakest was Q3 2025, with a decline of 20.7%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $749 million (Q2 2026), $39 million (Q1 2026) and $1.18 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 761.85 Bn | 709.39 Bn | - | 399.00 Mn |
| 2 | Mastercard | 576.33 Bn | 536.42 Bn | - | 872.00 Mn |
| 3 | Wise | 11.36 Bn | 11.36 Bn | - | 3.70 Mn |
| 4 | Remitly Global | 4.75 Bn | 2.21 Bn | 319.61 Mn | -8.91 Mn |
| 5 | Western Union | 2.15 Bn | -2.01 Bn | 343.00 Mn | 40.60 Mn |
| 6 | International Money Express | 221.76 Mn | -398.39 Mn | - | 2.95 Mn |
| 7 | Currenc | 116.19 Mn | -135.10 Mn | 3.70 Mn | 5.55 Mn |
| 8 | Sentage Holdings | 4.40 Mn | 324,699.40 | - | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 1.42 Bn |
| 10 | Capital One Financial | 123.02 Bn | 123.02 Bn | - | -34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 872.00 Mn |
| Jun 30, 2026 | 749.00 Mn |
| Mar 31, 2026 | 39.00 Mn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 861.00 Mn |
| Jun 30, 2025 | 581.00 Mn |
| Mar 31, 2025 | -784.00 Mn |
| Dec 31, 2024 | 916.00 Mn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 31.00 Mn |
| Mar 31, 2024 | -446.00 Mn |
| Dec 31, 2023 | 528.00 Mn |
| Sep 30, 2023 | 750.00 Mn |
| Jun 30, 2023 | -201.00 Mn |
| Mar 31, 2023 | -506.00 Mn |
| Dec 31, 2022 | 550.00 Mn |
| Sep 30, 2022 | 920.00 Mn |
| Jun 30, 2022 | 464.00 Mn |
| Mar 31, 2022 | -746.00 Mn |
| Dec 31, 2021 | 663.00 Mn |
API Access
Mastercard Change in Accrued Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=MA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=MA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();