Science Applications International (SAIC) Return on Assets [ROA] (2013 - 2026)
Science Applications International's Return on Assets [ROA] came in at 7.06% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.60 percentage points from 7.66% a year earlier and down 0.51 percentage points from the prior quarter.
Powered by 
Analysis
Science Applications International (SAIC) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Science Applications International's Return on Assets [ROA] was 6.75%, down 0.10 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of +2.71 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was 6.86% in FY2025 (-1.93 pp), 8.79% in FY2024 (+3.42 pp), 5.37% in FY2023 (+0.50 pp) and 4.87% in FY2022 (+0.82 pp).
- The five-year range for quarterly Return on Assets [ROA] is 4.63% (fiscal Q2 2023) to 9.06% (fiscal Q3 2024).
- Year-over-year, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -0.46 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q3 2024 (a gain of 4.23 percentage points), and the weakest in fiscal Q3 2025 (a drop of 3.30 percentage points).
- Business Quant data shows SAIC's Return on Assets [ROA] at 7.58% (Q1 2027), 6.64% (Q4 2026) and 6.98% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 1,378.37% |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 12.20% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 5.96% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 3.30% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 5.40% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 2.45% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 9.19% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 3.33% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 13.64% |
| 10 | Science Applications International | 6.41 Bn | 5.94 Bn | 239.00 Mn | 7.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.06% |
| May 1, 2026 | 7.58% |
| Jan 30, 2026 | 6.64% |
| Oct 31, 2025 | 6.98% |
| Aug 1, 2025 | 7.66% |
| May 2, 2025 | 6.75% |
| Jan 31, 2025 | 6.88% |
| Nov 1, 2024 | 5.76% |
| Aug 2, 2024 | 5.52% |
| May 3, 2024 | 8.63% |
| Feb 2, 2024 | 8.69% |
| Nov 3, 2023 | 9.06% |
| Aug 4, 2023 | 8.60% |
| May 5, 2023 | 5.69% |
| Feb 3, 2023 | 5.42% |
| Oct 28, 2022 | 4.82% |
| Jul 29, 2022 | 4.63% |
| Apr 29, 2022 | 4.73% |
| Jan 28, 2022 | 4.78% |
| Oct 29, 2021 | 5.01% |
API Access
Science Applications International Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();