Fidelity National Information Services (FIS) Change in Accured Expenses (2009 - 2026)
Fidelity National Information Services' Change in Accured Expenses came in at -$165 million for Q2 2026, compared with -$129 million a year earlier.
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Analysis
Fidelity National Information Services (FIS) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fidelity National Information Services reported Change in Accured Expenses of $302 million; for FY2025, it was $218 million, up 202.8% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $72 million in FY2024 (-20.9%), $91 million in FY2023, -$16 million in FY2022 and $391 million in FY2021 (+80.2%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses since Q1 2025.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2024 (growth of 164.6%), and the weakest in Q4 2022 (a decline of 80.2%).
- Business Quant data shows FIS's Change in Accured Expenses at -$99 million (Q1 2026), $319 million (Q4 2025) and $247 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - | -1.08 Bn |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn | -354.52 Mn |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - | - |
| 10 | Fidelity National Information Services | 19.74 Bn | 17.08 Bn | 1.17 Bn | -165.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 145.00 Mn |
API Access
Fidelity National Information Services Change in Accured 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();