Science Applications International (SAIC) Retained Earnings (2013 - 2026)
Science Applications International's Retained Earnings was $1.43 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.2% from $1.51 billion a year earlier but up 0.9% from the prior quarter.
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Analysis
Science Applications International (SAIC) Retained Earnings (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Retained Earnings at Science Applications International came in at $1.49 billion, down 4.7% from FY2025.
- Retained Earnings shows a five-year compound annual growth rate of 18.9% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $1.57 billion in FY2025 (+9.3%), $1.43 billion in FY2024 (+38.4%), $1.04 billion in FY2023 (+26.5%) and $818 million in FY2022 (+30.5%).
- Quarterly Retained Earnings has moved between $796 million (fiscal Q3 2022) and $1.6 billion (fiscal Q3 2025) over five years.
- Compared with a year earlier, Retained Earnings has declined for five straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q2 2024 (growth of 45.2%); the worst was fiscal Q3 2026 (a decline of 6.1%).
- Per Business Quant data, SAIC's Retained Earnings in the three fiscal quarters before Q2 2027 was $1.42 billion (Q1 2027), $1.49 billion (Q4 2026) and $1.5 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 4.02 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 5.34 Bn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 7.06 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 3.51 Bn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 1.75 Bn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.43 Bn |
| May 1, 2026 | 1.42 Bn |
| Jan 30, 2026 | 1.49 Bn |
| Oct 31, 2025 | 1.50 Bn |
| Aug 1, 2025 | 1.51 Bn |
| May 2, 2025 | 1.49 Bn |
| Jan 31, 2025 | 1.57 Bn |
| Nov 1, 2024 | 1.60 Bn |
| Aug 2, 2024 | 1.55 Bn |
| May 3, 2024 | 1.49 Bn |
| Feb 2, 2024 | 1.43 Bn |
| Nov 3, 2023 | 1.41 Bn |
| Aug 4, 2023 | 1.34 Bn |
| May 5, 2023 | 1.11 Bn |
| Feb 3, 2023 | 1.04 Bn |
| Oct 28, 2022 | 981.00 Mn |
| Jul 29, 2022 | 923.00 Mn |
| Apr 29, 2022 | 870.00 Mn |
| Jan 28, 2022 | 818.00 Mn |
| Oct 29, 2021 | 796.00 Mn |
API Access
Science Applications International Retained Earnings 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=retained-earnings&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();