Science Applications International (SAIC) Assets (2013 - 2026)
Science Applications International's Assets came in at $5.42 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.3% from $5.2 billion a year earlier and up 1.6% from the prior quarter.
Science Applications International (SAIC) Assets (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International's Assets was $5.35 billion, up 2.1% from FY2025.
- Assets carries a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $5.25 billion in FY2025 (-1.3%), $5.31 billion in FY2024 (-4.1%), $5.54 billion in FY2023 (-3.5%) and $5.75 billion in FY2022 (+0.4%).
- The five-year range for quarterly Assets is $5.2 billion (fiscal Q2 2026) to $5.96 billion (fiscal Q1 2024).
- Year-over-year, Assets has increased for four consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q2 2027 (growth of 4.3%), and the weakest in fiscal Q1 2025 (a decline of 11.9%).
- Business Quant data shows SAIC's Assets at $5.34 billion (Q1 2027), $5.35 billion (Q4 2026) and $5.42 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 16.36 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 20.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 38.51 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 17.25 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 38.38 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 15.43 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 21.53 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 4.57 Bn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 5.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.42 Bn |
| May 1, 2026 | 5.34 Bn |
| Jan 30, 2026 | 5.35 Bn |
| Oct 31, 2025 | 5.42 Bn |
| Aug 1, 2025 | 5.20 Bn |
| May 2, 2025 | 5.21 Bn |
| Jan 31, 2025 | 5.25 Bn |
| Nov 1, 2024 | 5.28 Bn |
| Aug 2, 2024 | 5.25 Bn |
| May 3, 2024 | 5.25 Bn |
| Feb 2, 2024 | 5.31 Bn |
| Nov 3, 2023 | 5.66 Bn |
| Aug 4, 2023 | 5.67 Bn |
| May 5, 2023 | 5.96 Bn |
| Feb 3, 2023 | 5.54 Bn |
| Oct 28, 2022 | 5.63 Bn |
| Jul 29, 2022 | 5.65 Bn |
| Apr 29, 2022 | 5.72 Bn |
| Jan 28, 2022 | 5.75 Bn |
| Oct 29, 2021 | 5.92 Bn |
Science Applications International Assets 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=assets&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();