Science Applications International (SAIC) EV to EBIT (2013 - 2026)
Science Applications International's (SAIC) EV to EBIT stood at 8.10 in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 10.5% from 9.04 a year earlier but up 16.8% from the prior quarter.
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Analysis
Science Applications International (SAIC) EV to EBIT (2013 - 2026) Analysis & Trends
On a TTM basis, Science Applications International's EV to EBIT came in at 7.53 as of Jul 31, 2026, down 14.2% year-over-year; for FY2026 (ended Jan 30, 2026), it was 8.24, down 9.7% from FY2025.
- Across earlier fiscal years, EV to EBIT came in at 9.13 in FY2025 (+2.3%), 8.93 in FY2024 (-19.0%), 11.02 in FY2023 (+14.2%) and 9.65 in FY2022 (-30.4%).
- Quarterly EV to EBIT has ranged from 6.93 in fiscal Q1 2027 to 13.97 in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, EV to EBIT has declined for five consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Peak year-over-year performance for EV to EBIT in the last five years was growth of 99.7% in fiscal Q3 2025, against a decline of 44.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.93 (Q1 2027), 8.24 (Q4 2026) and 7.93 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.10 |
| May 1, 2026 | 6.93 |
| Jan 30, 2026 | 8.24 |
| Oct 31, 2025 | 7.93 |
| Aug 1, 2025 | 9.04 |
| May 2, 2025 | 9.94 |
| Jan 31, 2025 | 9.13 |
| Nov 1, 2024 | 13.97 |
| Aug 2, 2024 | 12.53 |
| May 3, 2024 | 9.31 |
| Feb 2, 2024 | 8.93 |
| Nov 3, 2023 | 7.00 |
| Aug 4, 2023 | 7.92 |
| May 5, 2023 | 9.45 |
| Feb 3, 2023 | 11.02 |
| Oct 28, 2022 | 12.50 |
| Jul 29, 2022 | 11.67 |
| Apr 29, 2022 | 10.10 |
| Jan 28, 2022 | 9.65 |
| Oct 29, 2021 | 10.40 |
API Access
Science Applications International EV to EBIT 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=ev-to-ebit&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();