Science Applications International (SAIC) EBITDA Margin (2012 - 2026)
Science Applications International (SAIC) recorded EBITDA Margin of 10.16% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.32 percentage points from 9.84% a year earlier but down 1.33 percentage points from the prior quarter.
Science Applications International (SAIC) EBITDA Margin (2012 - 2026) Analysis & Trends
On a TTM basis, Science Applications International's EBITDA Margin came in at 10.12% as of Jul 31, 2026, up 0.74 percentage points year-over-year; for FY2026 (ended Jan 30, 2026), it was 9.23%, down 0.17 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of +1.16 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at 9.40% in FY2025 (-2.46 pp), 11.86% in FY2024 (+3.32 pp), 8.54% in FY2023 (+0.06 pp) and 8.48% in FY2022 (+0.42 pp).
- Quarterly EBITDA Margin has ranged from 6.62% in fiscal Q4 2024 to 22.31% in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of +0.78 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 13.30 percentage points in fiscal Q2 2024, against a drop of 13.07 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 11.49% (Q1 2027), 9.89% (Q4 2026) and 8.90% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 23.71% |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 18.56% |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 3.19% |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 7.66% |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 19.50% |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 4.13% |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 3.06% |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 1.96% |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 13.03% |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 10.16% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.16% |
| May 1, 2026 | 11.49% |
| Jan 30, 2026 | 9.89% |
| Oct 31, 2025 | 8.90% |
| Aug 1, 2025 | 9.84% |
| May 2, 2025 | 8.36% |
| Jan 31, 2025 | 9.47% |
| Nov 1, 2024 | 9.87% |
| Aug 2, 2024 | 9.24% |
| May 3, 2024 | 8.99% |
| Feb 2, 2024 | 6.62% |
| Nov 3, 2023 | 9.34% |
| Aug 4, 2023 | 22.31% |
| May 5, 2023 | 9.52% |
| Feb 3, 2023 | 7.98% |
| Oct 28, 2022 | 8.91% |
| Jul 29, 2022 | 9.01% |
| Apr 29, 2022 | 8.32% |
| Jan 28, 2022 | 7.13% |
| Oct 29, 2021 | 8.32% |
Science Applications International EBITDA Margin 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=ebitda-margin&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();