Fidelity National Information Services (FIS) Price to Sales (2009 - 2026)
Fidelity National Information Services' (FIS) Price to Sales came in at 1.64 for Q2 2026, down 60.1% from 4.12 a year earlier and down 22.5% from the prior quarter.
Fidelity National Information Services (FIS) Price to Sales (2009 - 2026) Analysis & Trends
For FY2025, Fidelity National Information Services' Price to Sales stood at 3.20, down 24.2% from FY2024.
- In prior years, Fidelity National Information Services' Price to Sales was 4.22 in FY2024 (+19.9%), 3.52 in FY2023 (-14.8%), 4.13 in FY2022 (-42.0%) and 7.12 in FY2021 (+1.8%).
- The Q2 2026 figure stands as the lowest quarterly Price to Sales since Q3 2012.
- On a year-over-year basis, Price to Sales has declined in each of the last six quarters, with an average decline of 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Price to Sales in the past five years was Q3 2024, with growth of 35.0%; the weakest was Q2 2026, with a decline of 60.1%.
- According to Business Quant data, Price to Sales for the three prior quarters was 2.12 (Q1 2026), 3.20 (Q4 2025) and 3.26 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | Fidelity National Information Services | 17.08 Bn | 14.41 Bn | 1.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.64 |
| Mar 31, 2026 | 2.12 |
| Dec 31, 2025 | 3.20 |
| Sep 30, 2025 | 3.26 |
| Jun 30, 2025 | 4.12 |
| Mar 31, 2025 | 3.85 |
| Dec 31, 2024 | 4.22 |
| Sep 30, 2024 | 4.49 |
| Jun 30, 2024 | 4.13 |
| Mar 31, 2024 | 4.17 |
| Dec 31, 2023 | 3.52 |
| Sep 30, 2023 | 3.33 |
| Jun 30, 2023 | 3.32 |
| Mar 31, 2023 | 3.30 |
| Dec 31, 2022 | 4.13 |
| Sep 30, 2022 | 7.09 |
| Jun 30, 2022 | 7.51 |
| Mar 31, 2022 | 7.23 |
| Dec 31, 2021 | 7.12 |
| Sep 30, 2021 | 5.48 |
Fidelity National Information Services Price to Sales 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=price-to-sales&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();