Science Applications International (SAIC) Revenue (2012 - 2026)
Science Applications International (SAIC) posted Revenue of $1.88 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.3% from $1.77 billion a year earlier but down 1.4% from the prior quarter.
Science Applications International (SAIC) Revenue (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Revenue at Science Applications International was $7.4 billion, down 0.8% year-over-year; for FY2026 (ended Jan 30, 2026), it was $7.26 billion, down 2.9% from FY2025.
- Annual Revenue shows a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- In prior fiscal years, Science Applications International's Revenue was $7.48 billion in FY2025 (+0.5%), $7.44 billion in FY2024 (-3.4%), $7.7 billion in FY2023 (+4.2%) and $7.39 billion in FY2022 (+4.8%).
- Quarterly Revenue has run from a low of $1.74 billion in fiscal Q4 2024 to a high of $2.03 billion in fiscal Q1 2024 over five years.
- On a year-over-year basis, Revenue increased in five of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q4 2023, with growth of 10.4%; the weakest was fiscal Q4 2024, with a decline of 11.7%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.91 billion (Q1 2027), $1.75 billion (Q4 2026) and $1.87 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 5.08 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 5.48 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 19.57 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 6.57 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 3.03 Bn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 9.99 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 8.30 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 14.53 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 1.41 Bn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.88 Bn |
| May 1, 2026 | 1.91 Bn |
| Jan 30, 2026 | 1.75 Bn |
| Oct 31, 2025 | 1.87 Bn |
| Aug 1, 2025 | 1.77 Bn |
| May 2, 2025 | 1.88 Bn |
| Jan 31, 2025 | 1.84 Bn |
| Nov 1, 2024 | 1.98 Bn |
| Aug 2, 2024 | 1.82 Bn |
| May 3, 2024 | 1.85 Bn |
| Feb 2, 2024 | 1.74 Bn |
| Nov 3, 2023 | 1.90 Bn |
| Aug 4, 2023 | 1.78 Bn |
| May 5, 2023 | 2.03 Bn |
| Feb 3, 2023 | 1.97 Bn |
| Oct 28, 2022 | 1.91 Bn |
| Jul 29, 2022 | 1.83 Bn |
| Apr 29, 2022 | 2.00 Bn |
| Jan 28, 2022 | 1.78 Bn |
| Oct 29, 2021 | 1.90 Bn |
Science Applications International Revenue 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=revenue&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();