Science Applications International (SAIC) Gains from Sales and Divestitures (2020 - 2025)
Science Applications International (SAIC) reported Gains from Sales and Divestitures of -$5 million for fiscal Q4 2025 (quarter ended Jan 31, 2025).
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Analysis
Science Applications International (SAIC) Gains from Sales and Divestitures (2020 - 2025) Analysis & Trends
For FY2024 (ended Feb 2, 2024), Science Applications International posted Gains from Sales and Divestitures of $247 million.
- By fiscal year, Gains from Sales and Divestitures came in at $2 million in FY2022 and -$10 million in FY2021.
- The fiscal Q4 2025 figure ranks as the lowest quarterly Gains from Sales and Divestitures since fiscal Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.26 Bn | 4.80 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2025 | -5.00 Mn |
| Nov 1, 2024 | 5.00 Mn |
| Aug 4, 2023 | 240.00 Mn |
| May 5, 2023 | 7.00 Mn |
| Jul 30, 2021 | -1.00 Mn |
| Apr 30, 2021 | 3.00 Mn |
| Jul 31, 2020 | -10.00 Mn |
API Access
Science Applications International Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();