Science Applications International (SAIC) Dividend Yield (2014 - 2026)
Science Applications International (SAIC) reported Dividend Yield of 1.36% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.05 percentage points from 1.41% a year earlier and down 0.29 percentage points from the prior quarter.
Powered by 
Analysis
Science Applications International (SAIC) Dividend Yield (2014 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Science Applications International posted Dividend Yield of 1.56%, up 0.12 percentage points from FY2025.
- Dividend Yield has a five-year change of 0.00 percentage points (FY2021 to FY2026).
- By fiscal year, Dividend Yield came in at 1.44% in FY2025 (+0.27 pp), 1.18% in FY2024 (-0.30 pp), 1.48% in FY2023 (-0.41 pp) and 1.89% in FY2022 (+0.33 pp).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Dividend Yield since fiscal Q1 2026.
- Year over year, Dividend Yield gained in six of the last eight quarters, with an average year-over-year change of +0.16 percentage points.
- The high point for year-over-year Dividend Yield in five years was fiscal Q3 2026 (a gain of 0.61 percentage points); the low point was fiscal Q4 2023 (a drop of 0.41 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 1.65% (Q1 2027), 1.56% (Q4 2026) and 1.68% (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 | 1.36% |
| May 1, 2026 | 1.65% |
| Jan 30, 2026 | 1.56% |
| Oct 31, 2025 | 1.68% |
| Aug 1, 2025 | 1.41% |
| May 2, 2025 | 1.33% |
| Jan 31, 2025 | 1.44% |
| Nov 1, 2024 | 1.07% |
| Aug 2, 2024 | 1.25% |
| May 3, 2024 | 1.16% |
| Feb 2, 2024 | 1.18% |
| Nov 3, 2023 | 1.39% |
| Aug 4, 2023 | 1.27% |
| May 5, 2023 | 1.50% |
| Feb 3, 2023 | 1.48% |
| Oct 28, 2022 | 1.43% |
| Jul 29, 2022 | 1.58% |
| Apr 29, 2022 | 1.85% |
| Jan 28, 2022 | 1.89% |
| Oct 29, 2021 | 1.70% |
API Access
Science Applications International Dividend Yield 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=dividend-yield&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();