Science Applications International (SAIC) EBT (2012 - 2026)
Science Applications International (SAIC) posted EBT of $119 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.2% from $108 million a year earlier but down 17.9% from the prior quarter.
Science Applications International (SAIC) EBT (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBT at Science Applications International was $457 million, up 7.0% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $387 million, down 9.6% from FY2025.
- Annual EBT shows a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- In prior fiscal years, Science Applications International's EBT was $428 million in FY2025 (-31.0%), $620 million in FY2024 (+65.3%), $375 million in FY2023 (+4.7%) and $358 million in FY2022 (+32.1%).
- Quarterly EBT has run from a low of $48 million in fiscal Q4 2024 to a high of $335 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, EBT increased in five of the last eight quarters, with growth averaging 22.2%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q2 2024, with growth of 252.6%; the weakest was fiscal Q2 2025, with a decline of 70.1%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $145 million (Q1 2027), $99 million (Q4 2026) and $94 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 1.16 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 875.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 429.93 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 372.90 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 458.28 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 353.15 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 160.16 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 157.54 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 140.55 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 119.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 119.00 Mn |
| May 1, 2026 | 145.00 Mn |
| Jan 30, 2026 | 99.00 Mn |
| Oct 31, 2025 | 94.00 Mn |
| Aug 1, 2025 | 108.00 Mn |
| May 2, 2025 | 86.00 Mn |
| Jan 31, 2025 | 107.00 Mn |
| Nov 1, 2024 | 126.00 Mn |
| Aug 2, 2024 | 100.00 Mn |
| May 3, 2024 | 95.00 Mn |
| Feb 2, 2024 | 48.00 Mn |
| Nov 3, 2023 | 114.00 Mn |
| Aug 4, 2023 | 335.00 Mn |
| May 5, 2023 | 123.00 Mn |
| Feb 3, 2023 | 85.00 Mn |
| Oct 28, 2022 | 100.00 Mn |
| Jul 29, 2022 | 95.00 Mn |
| Apr 29, 2022 | 95.00 Mn |
| Jan 28, 2022 | 57.00 Mn |
| Oct 29, 2021 | 88.00 Mn |
Science Applications International EBT 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=ebt&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();