Science Applications International (SAIC) Net Income (2012 - 2026)
Science Applications International (SAIC) posted Net Income of $102 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 19.7% from $127 million a year earlier and down 11.3% from the prior quarter.
Science Applications International (SAIC) Net Income (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Net Income at Science Applications International was $380 million, down 4.8% year-over-year; for FY2026 (ended Jan 30, 2026), it was $358 million, down 1.1% from FY2025.
- Annual Net Income shows a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In prior fiscal years, Science Applications International's Net Income was $362 million in FY2025 (-24.1%), $477 million in FY2024 (+57.4%), $303 million in FY2023 (+8.6%) and $279 million in FY2022 (+32.2%).
- Quarterly Net Income has run from a low of $39 million in fiscal Q4 2024 to a high of $247 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Net Income increased in four of the last eight quarters, with growth averaging 27.5%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q2 2024, with growth of 233.8%; the weakest was fiscal Q2 2025, with a decline of 67.2%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $115 million (Q1 2027), $85 million (Q4 2026) and $78 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 860.44 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 644.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 334.09 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 273.90 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 336.31 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 272.84 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 126.58 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 110.87 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 102.98 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 102.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 102.00 Mn |
| May 1, 2026 | 115.00 Mn |
| Jan 30, 2026 | 85.00 Mn |
| Oct 31, 2025 | 78.00 Mn |
| Aug 1, 2025 | 127.00 Mn |
| May 2, 2025 | 68.00 Mn |
| Jan 31, 2025 | 98.00 Mn |
| Nov 1, 2024 | 106.00 Mn |
| Aug 2, 2024 | 81.00 Mn |
| May 3, 2024 | 77.00 Mn |
| Feb 2, 2024 | 39.00 Mn |
| Nov 3, 2023 | 93.00 Mn |
| Aug 4, 2023 | 247.00 Mn |
| May 5, 2023 | 98.00 Mn |
| Feb 3, 2023 | 75.00 Mn |
| Oct 28, 2022 | 80.00 Mn |
| Jul 29, 2022 | 74.00 Mn |
| Apr 29, 2022 | 74.00 Mn |
| Jan 28, 2022 | 44.00 Mn |
| Oct 29, 2021 | 71.00 Mn |
Science Applications International Net Income 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=net-income&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();