Science Applications International (SAIC) Return on Sales [ROS] (2012 - 2026)
Science Applications International (SAIC) recorded Return on Sales [ROS] of 8.09% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.23 percentage points from 7.86% a year earlier but down 1.31 percentage points from the prior quarter.
Science Applications International (SAIC) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a TTM basis, Science Applications International's Return on Sales [ROS] came in at 8.00% as of Jul 31, 2026, up 0.52 percentage points year-over-year; for FY2026 (ended Jan 30, 2026), it was 7.17%, down 0.35 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +1.65 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 7.53% in FY2025 (-2.43 pp), 9.95% in FY2024 (+3.45 pp), 6.50% in FY2023 (+0.25 pp) and 6.25% in FY2022 (+0.72 pp).
- Quarterly Return on Sales [ROS] has ranged from 4.55% in fiscal Q4 2024 to 20.29% in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.67 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 13.46 percentage points in fiscal Q2 2024, against a drop of 12.92 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.39% (Q1 2027), 7.60% (Q4 2026) and 6.86% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 15.40% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 7.25% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 2.98% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 15.85% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 4.01% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 12.33% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 4.43% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 14.02% |
| 10 | Science Applications International | 6.41 Bn | 5.94 Bn | 239.00 Mn | 8.09% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.09% |
| May 1, 2026 | 9.39% |
| Jan 30, 2026 | 7.60% |
| Oct 31, 2025 | 6.86% |
| Aug 1, 2025 | 7.86% |
| May 2, 2025 | 6.45% |
| Jan 31, 2025 | 7.51% |
| Nov 1, 2024 | 8.10% |
| Aug 2, 2024 | 7.37% |
| May 3, 2024 | 7.09% |
| Feb 2, 2024 | 4.55% |
| Nov 3, 2023 | 7.55% |
| Aug 4, 2023 | 20.29% |
| May 5, 2023 | 7.74% |
| Feb 3, 2023 | 6.00% |
| Oct 28, 2022 | 6.97% |
| Jul 29, 2022 | 6.83% |
| Apr 29, 2022 | 6.26% |
| Jan 28, 2022 | 4.77% |
| Oct 29, 2021 | 6.01% |
Science Applications International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();