Science Applications International (SAIC) Shares Outstanding (Entity) (2012 - 2026)
Science Applications International (SAIC) recorded Shares Outstanding (Entity) of 42 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 8.7% from 46 million a year earlier and down 2.3% from the prior quarter.
Science Applications International (SAIC) Shares Outstanding (Entity) (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Science Applications International reported Shares Outstanding (Entity) of 44 million, down 8.3% from FY2025.
- Annual Shares Outstanding (Entity) has declined for five straight fiscal years, with a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 48 million in FY2025 (-7.7%), 52 million in FY2024 (-3.7%), 54 million in FY2023 (-3.6%) and 56 million in FY2022 (-3.4%).
- The fiscal Q2 2027 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to fiscal Q2 2013.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for 20 consecutive quarters, with an average decline of 7.9% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Entity) has ranged between 1.7% (fiscal Q3 2022) and 8.7% (fiscal Q2 2027) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at 43 million (Q1 2027), 44 million (Q4 2026) and 45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 452.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 79.96 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 125.30 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 50.91 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 82.07 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 235.37 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 51.59 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 42.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 42.00 Mn |
| May 1, 2026 | 43.00 Mn |
| Jan 30, 2026 | 44.00 Mn |
| Oct 31, 2025 | 45.00 Mn |
| Aug 1, 2025 | 46.00 Mn |
| May 2, 2025 | 47.00 Mn |
| Jan 31, 2025 | 48.00 Mn |
| Nov 1, 2024 | 49.00 Mn |
| Aug 2, 2024 | 50.00 Mn |
| May 3, 2024 | 51.00 Mn |
| Feb 2, 2024 | 52.00 Mn |
| Nov 3, 2023 | 52.00 Mn |
| Aug 4, 2023 | 53.00 Mn |
| May 5, 2023 | 54.00 Mn |
| Feb 3, 2023 | 54.00 Mn |
| Oct 28, 2022 | 55.00 Mn |
| Jul 29, 2022 | 55.00 Mn |
| Apr 29, 2022 | 56.00 Mn |
| Jan 28, 2022 | 56.00 Mn |
| Oct 29, 2021 | 57.00 Mn |
Science Applications International Shares Outstanding (Entity) 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-entity&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();