Science Applications International (SAIC) EPS (Diluted) (2012 - 2026)
Science Applications International (SAIC) reported EPS (Diluted) of $2.38 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 12.2% from $2.71 a year earlier and down 8.8% from the prior quarter.
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Analysis
Science Applications International (SAIC) EPS (Diluted) (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Science Applications International's EPS (Diluted) came in at $8.88, up 4.1% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $7.70, up 7.4% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $7.17 in FY2025 (-19.3%), $8.88 in FY2024 (+65.2%), $5.38 in FY2023 (+12.8%) and $4.77 in FY2022 (+33.9%).
- Five-year quarterly EPS (Diluted) spans a low of $0.73 in fiscal Q4 2024 and a high of $4.58 in fiscal Q2 2024.
- Year over year, EPS (Diluted) gained in four of the last eight quarters, with growth averaging 37.8%.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q2 2024 (growth of 250.9%); the low point was fiscal Q2 2025 (a decline of 65.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.61 (Q1 2027), $1.83 (Q4 2026) and $1.69 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (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 | 4.19 |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 2.15 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.49 |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 5.26 |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.52 |
| 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 | 2.38 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.38 |
| May 1, 2026 | 2.61 |
| Jan 30, 2026 | 1.83 |
| Oct 31, 2025 | 1.69 |
| Aug 1, 2025 | 2.71 |
| May 2, 2025 | 1.42 |
| Jan 31, 2025 | 1.94 |
| Nov 1, 2024 | 2.13 |
| Aug 2, 2024 | 1.58 |
| May 3, 2024 | 1.48 |
| Feb 2, 2024 | 0.73 |
| Nov 3, 2023 | 1.74 |
| Aug 4, 2023 | 4.58 |
| May 5, 2023 | 1.79 |
| Feb 3, 2023 | 1.33 |
| Oct 28, 2022 | 1.44 |
| Jul 29, 2022 | 1.31 |
| Apr 29, 2022 | 1.29 |
| Jan 28, 2022 | 0.74 |
| Oct 29, 2021 | 1.22 |
API Access
Science Applications International EPS (Diluted) 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-diluted&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();