Science Applications International (SAIC) EPS (Basic) (2012 - 2026)
Science Applications International (SAIC) recorded EPS (Basic) of $2.41 in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 11.5% from $2.72 a year earlier and down 8.6% from the prior quarter.
Science Applications International (SAIC) EPS (Basic) (2012 - 2026) Analysis & Trends
On a TTM basis, Science Applications International's EPS (Basic) came in at $8.96 as of Jul 31, 2026, up 4.9% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $7.73, up 7.0% from FY2025.
- Annual EPS (Basic) has a five-year compound annual growth rate of 16.5% (FY2021 to FY2026).
- Across earlier fiscal years, EPS (Basic) came in at $7.23 in FY2025 (-19.6%), $8.98 in FY2024 (+65.6%), $5.42 in FY2023 (+12.8%) and $4.81 in FY2022 (+33.7%).
- Quarterly EPS (Basic) has ranged from $0.73 in fiscal Q4 2024 to $4.62 in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, EPS (Basic) rose in four of the last eight quarters, with growth averaging 37.6%.
- Peak year-over-year performance for EPS (Basic) in the last five years was growth of 251.6% in fiscal Q2 2024, against a decline of 65.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.63 (Q1 2027), $1.84 (Q4 2026) and $1.70 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 0.20 |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.36 |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.20 |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 2.16 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.51 |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 5.32 |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.54 |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 0.48 |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.97 |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 2.41 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.41 |
| May 1, 2026 | 2.63 |
| Jan 30, 2026 | 1.84 |
| Oct 31, 2025 | 1.70 |
| Aug 1, 2025 | 2.72 |
| May 2, 2025 | 1.43 |
| Jan 31, 2025 | 1.96 |
| Nov 1, 2024 | 2.15 |
| Aug 2, 2024 | 1.59 |
| May 3, 2024 | 1.49 |
| Feb 2, 2024 | 0.73 |
| Nov 3, 2023 | 1.76 |
| Aug 4, 2023 | 4.62 |
| May 5, 2023 | 1.80 |
| Feb 3, 2023 | 1.34 |
| Oct 28, 2022 | 1.45 |
| Jul 29, 2022 | 1.31 |
| Apr 29, 2022 | 1.30 |
| Jan 28, 2022 | 0.75 |
| Oct 29, 2021 | 1.23 |
Science Applications International EPS (Basic) 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=eps-basic&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();