Fidelity National Information Services (FIS) Change in Accrued Expenses (2009 - 2026)
Fidelity National Information Services' Change in Accrued Expenses came in at $26 million for Q3 2026, down 89.5% from $247 million a year earlier.
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Analysis
Fidelity National Information Services (FIS) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Fidelity National Information Services reported Change in Accrued Expenses of $81 million, up 35.0% year-over-year; for FY2025, it was $218 million, up 202.8% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $72 million in FY2024 (-20.9%), $91 million in FY2023, -$16 million in FY2022 and $391 million in FY2021 (+80.2%).
- The five-year range for quarterly Change in Accrued Expenses is -$292 million (Q1 2024) to $319 million (Q4 2025).
- Year-over-year, Change in Accrued Expenses increased in three of the last four quarters, with growth averaging 34.6%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2024 (growth of 164.6%), and the weakest in Q3 2026 (a decline of 89.5%).
- Business Quant data shows FIS's Change in Accrued Expenses at -$165 million (Q2 2026), -$99 million (Q1 2026) and $319 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 116.14 Mn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | -1.08 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 791.49 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 891.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | -389.40 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 37.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | - |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 26.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.00 Mn |
| Jun 30, 2026 | -165.00 Mn |
| Mar 31, 2026 | -99.00 Mn |
| Dec 31, 2025 | 319.00 Mn |
| Sep 30, 2025 | 247.00 Mn |
| Jun 30, 2025 | -129.00 Mn |
| Mar 31, 2025 | -219.00 Mn |
| Dec 31, 2024 | 161.00 Mn |
| Sep 30, 2024 | 127.00 Mn |
| Jun 30, 2024 | 76.00 Mn |
| Mar 31, 2024 | -292.00 Mn |
| Dec 31, 2023 | 119.00 Mn |
| Sep 30, 2023 | 48.00 Mn |
| Jun 30, 2023 | 109.00 Mn |
| Mar 31, 2023 | -185.00 Mn |
| Dec 31, 2022 | 54.00 Mn |
| Sep 30, 2022 | -207.00 Mn |
| Jun 30, 2022 | 115.00 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | 273.00 Mn |
API Access
Fidelity National Information Services 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=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FIS", "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=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();