Science Applications International (SAIC) Shares Outstanding (2012 - 2026)
Science Applications International (SAIC) reported Shares Outstanding of 42.4 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.2% from 46.7 million a year earlier and down 3.0% from the prior quarter.
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Analysis
Science Applications International (SAIC) Shares Outstanding (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Science Applications International posted Shares Outstanding of 46.3 million, down 7.6% from FY2025.
- Shares Outstanding has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -4.4% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 50.1 million in FY2025 (-5.6%), 53.1 million in FY2024 (-4.0%), 55.3 million in FY2023 (-4.0%) and 57.6 million in FY2022 (-0.9%).
- Year over year, Shares Outstanding has now declined in each of the last 21 quarters, with an average decline of 7.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.9% (fiscal Q4 2022) to 9.2% (fiscal Q2 2027).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 43.7 million (Q1 2027), 46.3 million (Q4 2026) and 45.9 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | 10.48 Bn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | 127.00 Mn |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | 79.21 Mn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | 222.69 Mn |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 51.31 Mn |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | 82.16 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | 52.20 Mn |
| 10 | Science Applications International | 6.08 Bn | 5.62 Bn | 239.00 Mn | 42.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 42.40 Mn |
| May 1, 2026 | 43.70 Mn |
| Jan 30, 2026 | 46.30 Mn |
| Oct 31, 2025 | 45.90 Mn |
| Aug 1, 2025 | 46.70 Mn |
| May 2, 2025 | 47.60 Mn |
| Jan 31, 2025 | 50.10 Mn |
| Nov 1, 2024 | 49.40 Mn |
| Aug 2, 2024 | 50.90 Mn |
| May 3, 2024 | 51.60 Mn |
| Feb 2, 2024 | 53.10 Mn |
| Nov 3, 2023 | 52.80 Mn |
| Aug 4, 2023 | 53.50 Mn |
| May 5, 2023 | 54.30 Mn |
| Feb 3, 2023 | 55.30 Mn |
| Oct 28, 2022 | 55.00 Mn |
| Jul 29, 2022 | 55.60 Mn |
| Apr 29, 2022 | 56.10 Mn |
| Jan 28, 2022 | 57.60 Mn |
| Oct 29, 2021 | 57.50 Mn |
API Access
Science Applications International 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=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SAIC", "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=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();