Fidelity National Information Services (FIS) Property, Plant & Equipment (Net) (2009 - 2026)
Fidelity National Information Services' Property, Plant & Equipment (Net) came in at $1.14 billion for Q2 2026, up 64.7% from $692 million a year earlier and up 2.4% from the prior quarter.
Fidelity National Information Services (FIS) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Fidelity National Information Services' Property, Plant & Equipment (Net) was $691 million, up 7.0% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $646 million in FY2024 (-7.1%), $695 million in FY2023 (-2.0%), $709 million in FY2022 (-25.3%) and $949 million in FY2021 (+7.0%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 64.7%), and the weakest in Q4 2022 (a decline of 25.3%).
- Business Quant data shows FIS's Property, Plant & Equipment (Net) at $1.11 billion (Q1 2026), $691 million (Q4 2025) and $709 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | 127.85 Bn |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | 5.14 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | 96.75 Mn |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | 342.00 Mn |
| 10 | Fidelity National Information Services | 19.35 Bn | 16.69 Bn | 1.17 Bn | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 691.00 Mn |
| Sep 30, 2025 | 709.00 Mn |
| Jun 30, 2025 | 692.00 Mn |
| Mar 31, 2025 | 689.00 Mn |
| Dec 31, 2024 | 646.00 Mn |
| Sep 30, 2024 | 620.00 Mn |
| Jun 30, 2024 | 645.00 Mn |
| Mar 31, 2024 | 668.00 Mn |
| Dec 31, 2023 | 695.00 Mn |
| Sep 30, 2023 | 682.00 Mn |
| Jun 30, 2023 | 829.00 Mn |
| Mar 31, 2023 | 838.00 Mn |
| Dec 31, 2022 | 709.00 Mn |
| Sep 30, 2022 | 839.00 Mn |
| Jun 30, 2022 | 881.00 Mn |
| Mar 31, 2022 | 901.00 Mn |
| Dec 31, 2021 | 949.00 Mn |
| Sep 30, 2021 | 846.00 Mn |
Fidelity National Information Services Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();