Fidelity National Information Services (FIS) Shares Outstanding (2009 - 2026)
Fidelity National Information Services' Shares Outstanding came in at 516 million for Q2 2026, down 1.7% from 525 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Fidelity National Information Services (FIS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Fidelity National Information Services' Shares Outstanding was 523 million, down 5.4% from FY2024.
- Shares Outstanding has declined in each of the last five years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 553 million in FY2024 (-6.4%), 591 million in FY2023 (-2.2%), 604 million in FY2022 (-1.9%) and 616 million in FY2021 (-0.5%).
- The five-year range for quarterly Shares Outstanding is 515 million (Q1 2026) to 616 million (Q4 2021).
- Year-over-year, Shares Outstanding has declined for 20 consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 0.5% in Q4 2021 to 8.3% in Q1 2025.
- Business Quant data shows FIS's Shares Outstanding at 515 million (Q1 2026), 523 million (Q4 2025) and 521 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 2.97 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 820.00 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 | 402.30 Mn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | 1.83 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 | 516.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 516.00 Mn |
| Mar 31, 2026 | 515.00 Mn |
| Dec 31, 2025 | 523.00 Mn |
| Sep 30, 2025 | 521.00 Mn |
| Jun 30, 2025 | 525.00 Mn |
| Mar 31, 2025 | 528.00 Mn |
| Dec 31, 2024 | 553.00 Mn |
| Sep 30, 2024 | 545.00 Mn |
| Jun 30, 2024 | 554.00 Mn |
| Mar 31, 2024 | 576.00 Mn |
| Dec 31, 2023 | 591.00 Mn |
| Sep 30, 2023 | 592.00 Mn |
| Jun 30, 2023 | 592.00 Mn |
| Mar 31, 2023 | 592.00 Mn |
| Dec 31, 2022 | 604.00 Mn |
| Sep 30, 2022 | 605.00 Mn |
| Jun 30, 2022 | 608.00 Mn |
| Mar 31, 2022 | 610.00 Mn |
| Dec 31, 2021 | 616.00 Mn |
| Sep 30, 2021 | 613.00 Mn |
API Access
Fidelity National Information Services Shares Outstanding 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&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();