Science Applications International (SAIC) Enterprise Value (2013 - 2026)
Science Applications International (SAIC) recorded Enterprise Value of $4.79 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.0% from $5.05 billion a year earlier but up 19.4% from the prior quarter.
Science Applications International (SAIC) Enterprise Value (2013 - 2026) Analysis & Trends
On a TTM basis, Science Applications International's Enterprise Value came in at $4.46 billion as of Jul 31, 2026, down 9.0% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $4.3 billion, down 16.5% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of -4.5% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $5.14 billion in FY2025 (-22.3%), $6.61 billion in FY2024 (+19.8%), $5.52 billion in FY2023 (+23.9%) and $4.46 billion in FY2022 (-17.6%).
- Quarterly Enterprise Value has ranged from $4.02 billion in fiscal Q1 2027 to $7.04 billion in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for seven consecutive quarters, with an average decline of 14.7% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 32.2% in fiscal Q1 2025, against a decline of 40.8% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.02 billion (Q1 2027), $4.3 billion (Q4 2026) and $4.17 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.79 Bn | 5.33 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.79 Bn |
| May 1, 2026 | 4.02 Bn |
| Jan 30, 2026 | 4.30 Bn |
| Oct 31, 2025 | 4.17 Bn |
| Aug 1, 2025 | 5.05 Bn |
| May 2, 2025 | 5.50 Bn |
| Jan 31, 2025 | 5.14 Bn |
| Nov 1, 2024 | 7.04 Bn |
| Aug 2, 2024 | 6.10 Bn |
| May 3, 2024 | 6.66 Bn |
| Feb 2, 2024 | 6.61 Bn |
| Nov 3, 2023 | 5.46 Bn |
| Aug 4, 2023 | 6.10 Bn |
| May 5, 2023 | 5.04 Bn |
| Feb 3, 2023 | 5.52 Bn |
| Oct 28, 2022 | 5.85 Bn |
| Jul 29, 2022 | 5.24 Bn |
| Apr 29, 2022 | 4.61 Bn |
| Jan 28, 2022 | 4.46 Bn |
| Oct 29, 2021 | 4.98 Bn |
Science Applications International Enterprise Value 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=enterprise-value&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();