Science Applications International (SAIC) Cash & Equivalents (2012 - 2026)
Science Applications International's Cash & Equivalents was $126 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 162.5% from $48 million a year earlier and up 15.6% from the prior quarter.
Science Applications International (SAIC) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Cash & Equivalents at Science Applications International came in at $182 million, up 225.0% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $56 million in FY2025 (-40.4%), $94 million in FY2024 (-13.8%), $109 million in FY2023 (+2.8%) and $106 million in FY2022 (-38.0%).
- Quarterly Cash & Equivalents has moved between $45 million (fiscal Q3 2026) and $422 million (fiscal Q1 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 48.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2024 (growth of 653.6%); the worst was fiscal Q1 2025 (a decline of 88.4%).
- Per Business Quant data, SAIC's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $109 million (Q1 2027), $182 million (Q4 2026) and $45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Science Applications International | 5.26 Bn | 4.80 Bn | 239.00 Mn | 126.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 126.00 Mn |
| May 1, 2026 | 109.00 Mn |
| Jan 30, 2026 | 182.00 Mn |
| Oct 31, 2025 | 45.00 Mn |
| Aug 1, 2025 | 48.00 Mn |
| May 2, 2025 | 47.00 Mn |
| Jan 31, 2025 | 56.00 Mn |
| Nov 1, 2024 | 46.00 Mn |
| Aug 2, 2024 | 48.00 Mn |
| May 3, 2024 | 49.00 Mn |
| Feb 2, 2024 | 94.00 Mn |
| Nov 3, 2023 | 311.00 Mn |
| Aug 4, 2023 | 352.00 Mn |
| May 5, 2023 | 422.00 Mn |
| Feb 3, 2023 | 109.00 Mn |
| Oct 28, 2022 | 53.00 Mn |
| Jul 29, 2022 | 99.00 Mn |
| Apr 29, 2022 | 56.00 Mn |
| Jan 28, 2022 | 106.00 Mn |
| Oct 29, 2021 | 148.00 Mn |
Science Applications International Cash & Equivalents 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=cash-and-equivalents&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();