Fidelity National Information Services (FIS) Shares Outstanding (Diluted) (2009 - 2026)
Fidelity National Information Services' Shares Outstanding (Diluted) was 517 million in Q2 2026, down 1.5% from 525 million a year earlier and unchanged from the prior quarter.
Fidelity National Information Services (FIS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Fidelity National Information Services came in at 525 million, down 5.4% from FY2024.
- Shares Outstanding (Diluted) has now declined for five consecutive years, with a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 555 million in FY2024 (-6.1%), 591 million in FY2023 (-2.2%), 604 million in FY2022 (-2.7%) and 621 million in FY2021 (-1.0%).
- Quarterly Shares Outstanding (Diluted) has moved between 517 million (Q1 2026) and 621 million (Q4 2021) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 22 straight quarters, with an average decline of 5.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 1.0% (Q4 2021) to 8.1% (Q1 2025).
- Per Business Quant data, FIS's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 517 million (Q1 2026), 525 million (Q4 2025) and 523 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 3.00 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | 1.84 Bn |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Fidelity National Information Services | 18.77 Bn | 16.11 Bn | 1.17 Bn | 517.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 517.00 Mn |
| Mar 31, 2026 | 517.00 Mn |
| Dec 31, 2025 | 525.00 Mn |
| Sep 30, 2025 | 523.00 Mn |
| Jun 30, 2025 | 525.00 Mn |
| Mar 31, 2025 | 531.00 Mn |
| Dec 31, 2024 | 555.00 Mn |
| Sep 30, 2024 | 548.00 Mn |
| Jun 30, 2024 | 557.00 Mn |
| Mar 31, 2024 | 578.00 Mn |
| Dec 31, 2023 | 591.00 Mn |
| Sep 30, 2023 | 592.00 Mn |
| Jun 30, 2023 | 592.00 Mn |
| Mar 31, 2023 | 593.00 Mn |
| Dec 31, 2022 | 604.00 Mn |
| Sep 30, 2022 | 607.00 Mn |
| Jun 30, 2022 | 611.00 Mn |
| Mar 31, 2022 | 614.00 Mn |
| Dec 31, 2021 | 621.00 Mn |
| Sep 30, 2021 | 619.00 Mn |
Fidelity National Information Services Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();