Science Applications International (SAIC) FCF Payout Ratio (2014 - 2026)
Science Applications International's (SAIC) FCF Payout Ratio came in at 0.12 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 17.4% from 0.15 a year earlier and down 15.2% from the prior quarter.
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Analysis
Science Applications International (SAIC) FCF Payout Ratio (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, FCF Payout Ratio at Science Applications International was 0.11, down 33.7% year-over-year.
- In prior fiscal years, Science Applications International's FCF Payout Ratio was 0.16 in FY2025 (-23.5%), 0.21 in FY2024 (+30.8%), 0.16 in FY2023 (-8.2%) and 0.18 in FY2022 (+45.4%).
- Quarterly FCF Payout Ratio has run from a low of 0.07 in fiscal Q4 2026 to a high of 0.37 in fiscal Q4 2024 over five years.
- On a year-over-year basis, FCF Payout Ratio has declined in each of the last three quarters, with an average decline of 23.6% over the last eight quarters.
- The strongest year-over-year quarter for FCF Payout Ratio in the past five years was fiscal Q4 2024, with growth of 152.1%; the weakest was fiscal Q4 2026, with a decline of 62.2%.
- According to Business Quant data, FCF Payout Ratio for the three prior fiscal quarters was 0.14 (Q1 2027), 0.07 (Q4 2026) and 0.14 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 0.34 |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | - |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | - |
| 10 | Science Applications International | 5.30 Bn | 4.84 Bn | 239.00 Mn | 0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.12 |
| May 1, 2026 | 0.14 |
| Jan 30, 2026 | 0.07 |
| Oct 31, 2025 | 0.14 |
| Aug 1, 2025 | 0.15 |
| May 2, 2025 | 0.21 |
| Jan 31, 2025 | 0.18 |
| Nov 1, 2024 | 0.13 |
| Aug 2, 2024 | 0.14 |
| May 3, 2024 | 0.22 |
| Feb 2, 2024 | 0.37 |
| Nov 3, 2023 | 0.20 |
| Aug 4, 2023 | 0.14 |
| May 5, 2023 | 0.28 |
| Feb 3, 2023 | 0.14 |
| Oct 28, 2022 | 0.17 |
| Jul 29, 2022 | 0.15 |
| Apr 29, 2022 | 0.19 |
| Jan 28, 2022 | 0.22 |
| Oct 29, 2021 | 0.17 |
API Access
Science Applications International FCF Payout Ratio 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=fcf-payout-ratio&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();