Fidelity National Information Services (FIS) Shares Outstanding (2009 - 2026)
Fidelity National Information Services' Weighted Average Shares Outstanding came in at 516 million for Q3 2026, down 1.0% from 521 million a year earlier and unchanged 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' Weighted Average Shares Outstanding was 523 million, down 5.4% from FY2024.
- Weighted Average 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, Weighted Average 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 Weighted Average Shares Outstanding is 515 million (Q1 2026) to 616 million (Q4 2021).
- Year-over-year, Weighted Average Shares Outstanding has declined for 21 consecutive quarters, with an average decline of 4.4% over the last eight quarters.
- Across the past five years, year-over-year decline in Weighted Average Shares Outstanding ran from 0.5% in Q4 2021 to 8.3% in Q1 2025.
- Business Quant data shows FIS's Weighted Average Shares Outstanding at 516 million (Q2 2026), 515 million (Q1 2026) and 523 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 2.97 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 396.50 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 1.83 Bn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 448.85 Mn |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn | 516.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 516.00 Mn |
| 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 |
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();