Science Applications International (SAIC) Capital Expenditures (2012 - 2026)
Science Applications International's Capital Expenditures was $15 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 114.3% from $7 million a year earlier and up 66.7% from the prior quarter.
Science Applications International (SAIC) Capital Expenditures (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Science Applications International's Capital Expenditures was $41 million through Jul 31, 2026, up 5.1% year-over-year; for FY2026 (ended Jan 30, 2026), it was $32 million, down 11.1% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of -7.0% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $36 million in FY2025 (+33.3%), $27 million in FY2024 (+8.0%), $25 million in FY2023 (-30.6%) and $36 million in FY2022 (-21.7%).
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 36.4%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q3 2025 (growth of 125.0%); the worst was fiscal Q1 2023 (a decline of 50.0%).
- Per Business Quant data, SAIC's Capital Expenditures in the three fiscal quarters before Q2 2027 was $9 million (Q1 2027), $8 million (Q4 2026) and $9 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 99.00 Mn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 58.88 Mn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 27.50 Mn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | -20.01 Mn |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 21.14 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 16.76 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 32.92 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 15.21 Mn |
| 10 | Science Applications International | 5.30 Bn | 4.84 Bn | 239.00 Mn | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.00 Mn |
| May 1, 2026 | 9.00 Mn |
| Jan 30, 2026 | 8.00 Mn |
| Oct 31, 2025 | 9.00 Mn |
| Aug 1, 2025 | 7.00 Mn |
| May 2, 2025 | 8.00 Mn |
| Jan 31, 2025 | 15.00 Mn |
| Nov 1, 2024 | 9.00 Mn |
| Aug 2, 2024 | 6.00 Mn |
| May 3, 2024 | 6.00 Mn |
| Feb 2, 2024 | 11.00 Mn |
| Nov 3, 2023 | 4.00 Mn |
| Aug 4, 2023 | 6.00 Mn |
| May 5, 2023 | 6.00 Mn |
| Feb 3, 2023 | 7.00 Mn |
| Oct 28, 2022 | 6.00 Mn |
| Jul 29, 2022 | 7.00 Mn |
| Apr 29, 2022 | 5.00 Mn |
| Jan 28, 2022 | 9.00 Mn |
| Oct 29, 2021 | 10.00 Mn |
Science Applications International Capital Expenditures 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=capital-expenditures&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();