Science Applications International (SAIC) Dividends Paid - Common (2014 - 2026)
Science Applications International's Dividends Paid - Common was $16 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.9% from $17 million a year earlier and down 5.9% from the prior quarter.
Science Applications International (SAIC) Dividends Paid - Common (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Science Applications International's Dividends Paid - Common was $67 million through Jul 31, 2026, down 6.9% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $70 million, down 6.7% from FY2025.
- Dividends Paid - Common has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -4.3% (FY2021 to FY2026).
- In earlier fiscal years, Dividends Paid - Common was $75 million in FY2025 (-5.1%), $79 million in FY2024 (-4.8%), $83 million in FY2023 (-3.5%) and $86 million in FY2022 (-1.1%).
- The fiscal Q2 2027 figure marks the lowest quarterly Dividends Paid - Common since fiscal Q4 2019.
- Compared with a year earlier, Dividends Paid - Common has declined for 12 straight quarters, with an average decline of 6.7% over the last eight quarters.
- Across the past five years, year-over-year decline in Dividends Paid - Common ran from 0.0% in fiscal Q2 2024 to 10.5% in fiscal Q2 2026.
- Per Business Quant data, SAIC's Dividends Paid - Common in the three fiscal quarters before Q2 2027 was $17 million (Q1 2027), $17 million (Q4 2026) and $17 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 157.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 79.80 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 28.76 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 19.36 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 16.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 16.00 Mn |
| May 1, 2026 | 17.00 Mn |
| Jan 30, 2026 | 17.00 Mn |
| Oct 31, 2025 | 17.00 Mn |
| Aug 1, 2025 | 17.00 Mn |
| May 2, 2025 | 19.00 Mn |
| Jan 31, 2025 | 18.00 Mn |
| Nov 1, 2024 | 18.00 Mn |
| Aug 2, 2024 | 19.00 Mn |
| May 3, 2024 | 20.00 Mn |
| Feb 2, 2024 | 19.00 Mn |
| Nov 3, 2023 | 19.00 Mn |
| Aug 4, 2023 | 20.00 Mn |
| May 5, 2023 | 21.00 Mn |
| Feb 3, 2023 | 20.00 Mn |
| Oct 28, 2022 | 21.00 Mn |
| Jul 29, 2022 | 20.00 Mn |
| Apr 29, 2022 | 22.00 Mn |
| Jan 28, 2022 | 21.00 Mn |
| Oct 29, 2021 | 21.00 Mn |
Science Applications International Dividends Paid - Common 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=dividends-paid-common&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "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=dividends-paid-common&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();