Science Applications International (SAIC) Return on Capital Employed [ROCE] (2013 - 2026)
Science Applications International's Return on Capital Employed [ROCE] came in at 13.71% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.14 percentage points from 14.84% a year earlier but up 0.27 percentage points from the prior quarter.
Science Applications International (SAIC) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Science Applications International's Return on Capital Employed [ROCE] was 12.07%, down 2.43 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +2.17 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 14.50% in FY2025 (-2.86 pp), 17.35% in FY2024 (+6.26 pp), 11.09% in FY2023 (+0.55 pp) and 10.54% in FY2022 (+0.65 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 9.99% (fiscal Q2 2023) to 17.57% (fiscal Q3 2024).
- Year-over-year, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of -1.63 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2024 (a gain of 6.96 percentage points), and the weakest in fiscal Q3 2025 (a drop of 4.73 percentage points).
- Business Quant data shows SAIC's Return on Capital Employed [ROCE] at 13.44% (Q1 2027), 11.82% (Q4 2026) and 12.34% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 37.20% |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 19.98% |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 16.31% |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 19.62% |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 14.39% |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 10.42% |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 14.02% |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 14.69% |
| 10 | Science Applications International | 5.26 Bn | 4.80 Bn | 239.00 Mn | 13.71% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.71% |
| May 1, 2026 | 13.44% |
| Jan 30, 2026 | 11.82% |
| Oct 31, 2025 | 12.34% |
| Aug 1, 2025 | 14.84% |
| May 2, 2025 | 14.73% |
| Jan 31, 2025 | 14.57% |
| Nov 1, 2024 | 12.84% |
| Aug 2, 2024 | 12.30% |
| May 3, 2024 | 17.32% |
| Feb 2, 2024 | 17.12% |
| Nov 3, 2023 | 17.57% |
| Aug 4, 2023 | 16.73% |
| May 5, 2023 | 12.70% |
| Feb 3, 2023 | 11.23% |
| Oct 28, 2022 | 10.61% |
| Jul 29, 2022 | 9.99% |
| Apr 29, 2022 | 10.39% |
| Jan 28, 2022 | 10.31% |
| Oct 29, 2021 | 10.61% |
Science Applications International Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();