Science Applications International (SAIC) Share-based Compensation (2012 - 2026)
Science Applications International's Share-based Compensation was $15 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 50.0% from $10 million a year earlier and up 15.4% from the prior quarter.
Science Applications International (SAIC) Share-based Compensation (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Science Applications International's Share-based Compensation was $67 million through Jul 31, 2026, up 26.4% year-over-year; for FY2026 (ended Jan 30, 2026), it was $64 million, up 20.8% from FY2025.
- Share-based Compensation shows a five-year compound annual growth rate of 8.8% (FY2021 to FY2026).
- In earlier fiscal years, Share-based Compensation was $53 million in FY2025 (-22.1%), $68 million in FY2024 (+41.7%), $48 million in FY2023 (+4.3%) and $46 million in FY2022 (+9.5%).
- Quarterly Share-based Compensation has moved between $10 million (fiscal Q2 2026) and $26 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Share-based Compensation was higher in three of the last eight quarters, with growth averaging 8.3%.
- The best year-over-year quarter for Share-based Compensation over five years was fiscal Q3 2026 (growth of 100.0%); the worst was fiscal Q4 2025 (a decline of 42.3%).
- Per Business Quant data, SAIC's Share-based Compensation in the three fiscal quarters before Q2 2027 was $13 million (Q1 2027), $13 million (Q4 2026) and $26 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Stock Comp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 252.87 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 53.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 17.88 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.71 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 12.82 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 12.97 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.01 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 46.40 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.00 Mn |
| May 1, 2026 | 13.00 Mn |
| Jan 30, 2026 | 13.00 Mn |
| Oct 31, 2025 | 26.00 Mn |
| Aug 1, 2025 | 10.00 Mn |
| May 2, 2025 | 15.00 Mn |
| Jan 31, 2025 | 15.00 Mn |
| Nov 1, 2024 | 13.00 Mn |
| Aug 2, 2024 | 12.00 Mn |
| May 3, 2024 | 13.00 Mn |
| Feb 2, 2024 | 26.00 Mn |
| Nov 3, 2023 | 15.00 Mn |
| Aug 4, 2023 | 15.00 Mn |
| May 5, 2023 | 12.00 Mn |
| Feb 3, 2023 | 13.00 Mn |
| Oct 28, 2022 | 12.00 Mn |
| Jul 29, 2022 | 12.00 Mn |
| Apr 29, 2022 | 11.00 Mn |
| Jan 28, 2022 | 11.00 Mn |
| Oct 29, 2021 | 11.00 Mn |
Science Applications International Share-based Compensation 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=share-based-compensation&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "share-based-compensation", "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=share-based-compensation&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();