Science Applications International (SAIC) Free Cash Flow (2012 - 2026)
Science Applications International's Free Cash Flow was $131 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.9% from $115 million a year earlier and up 11.0% from the prior quarter.
Science Applications International (SAIC) Free Cash Flow (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Science Applications International's Free Cash Flow was $619 million through Jul 31, 2026, up 40.4% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $577 million, up 26.0% from FY2025.
- Free Cash Flow shows a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- In earlier fiscal years, Free Cash Flow was $458 million in FY2025 (+24.1%), $369 million in FY2024 (-27.2%), $507 million in FY2023 (+5.2%) and $482 million in FY2022 (-32.0%).
- Quarterly Free Cash Flow has moved between $52 million (fiscal Q4 2024) and $250 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Free Cash Flow has increased for three straight quarters, with growth averaging 37.4% over the last eight quarters.
- The best year-over-year quarter for Free Cash Flow over five years was fiscal Q4 2026 (growth of 150.0%); the worst was fiscal Q4 2024 (a decline of 62.3%).
- Per Business Quant data, SAIC's Free Cash Flow in the three fiscal quarters before Q2 2027 was $118 million (Q1 2027), $250 million (Q4 2026) and $120 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.26 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 459.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | -332.43 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | -82.60 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 457.05 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 297.21 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | -307.50 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -566.14 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | -17.64 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 131.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 131.00 Mn |
| May 1, 2026 | 118.00 Mn |
| Jan 30, 2026 | 250.00 Mn |
| Oct 31, 2025 | 120.00 Mn |
| Aug 1, 2025 | 115.00 Mn |
| May 2, 2025 | 92.00 Mn |
| Jan 31, 2025 | 100.00 Mn |
| Nov 1, 2024 | 134.00 Mn |
| Aug 2, 2024 | 132.00 Mn |
| May 3, 2024 | 92.00 Mn |
| Feb 2, 2024 | 52.00 Mn |
| Nov 3, 2023 | 97.00 Mn |
| Aug 4, 2023 | 144.00 Mn |
| May 5, 2023 | 76.00 Mn |
| Feb 3, 2023 | 138.00 Mn |
| Oct 28, 2022 | 122.00 Mn |
| Jul 29, 2022 | 134.00 Mn |
| Apr 29, 2022 | 113.00 Mn |
| Jan 28, 2022 | 94.00 Mn |
| Oct 29, 2021 | 124.00 Mn |
Science Applications International Free Cash Flow 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=free-cash-flow&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();