Fidelity National Information Services (FIS) Amortization of Deferred Charges (2009 - 2026)
Fidelity National Information Services (FIS) reported Amortization of Deferred Charges of $8 million for Q3 2026, up 100.0% from $4 million a year earlier but down 11.1% from the prior quarter.
Fidelity National Information Services (FIS) Amortization of Deferred Charges (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Fidelity National Information Services' Amortization of Deferred Charges came in at $37 million, unchanged year-over-year; for FY2025, it was $37 million, up 85.0% from FY2024.
- Amortization of Deferred Charges has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Amortization of Deferred Charges came in at $20 million in FY2024 (-31.0%), $29 million in FY2023 (-6.5%), $31 million in FY2022 (+3.3%) and $30 million in FY2021 (-3.2%).
- Five-year quarterly Amortization of Deferred Charges spans a low of $4 million in Q4 2024 and a high of $25 million in Q2 2025.
- Year over year, Amortization of Deferred Charges gained in three of the last eight quarters, with growth averaging 80.0%.
- The high point for year-over-year Amortization of Deferred Charges in five years was Q2 2025 (growth of 400.0%); the low point was Q2 2026 (a decline of 64.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $9 million (Q2 2026), $16 million (Q1 2026) and $4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.00 Mn |
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 25.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 8.00 Mn |
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 8.00 Mn |
Fidelity National Information Services Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();