Science Applications International (SAIC) Non-Current Assets (2013 - 2026)
Science Applications International's Non-Current Assets came in at $4.14 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.7% from $4 billion a year earlier and up 0.1% from the prior quarter.
Science Applications International (SAIC) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International's Non-Current Assets was $4.18 billion, up 2.0% from FY2025.
- Non-Current Assets carries a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $4.09 billion in FY2025 (-2.2%), $4.18 billion in FY2024 (-3.8%), $4.35 billion in FY2023 (-3.1%) and $4.48 billion in FY2022 (+1.1%).
- The five-year range for quarterly Non-Current Assets is $4 billion (fiscal Q2 2026) to $4.53 billion (fiscal Q3 2022).
- Year-over-year, Non-Current Assets has increased for four consecutive quarters, with an average decline of 0.4% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q2 2027 (growth of 3.7%), and the weakest in fiscal Q2 2023 (a decline of 3.9%).
- Business Quant data shows SAIC's Non-Current Assets at $4.14 billion (Q1 2027), $4.18 billion (Q4 2026) and $4.17 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 8.92 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.39 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.09 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.00 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 4.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.14 Bn |
| May 1, 2026 | 4.14 Bn |
| Jan 30, 2026 | 4.18 Bn |
| Oct 31, 2025 | 4.17 Bn |
| Aug 1, 2025 | 4.00 Bn |
| May 2, 2025 | 4.06 Bn |
| Jan 31, 2025 | 4.09 Bn |
| Nov 1, 2024 | 4.12 Bn |
| Aug 2, 2024 | 4.15 Bn |
| May 3, 2024 | 4.16 Bn |
| Feb 2, 2024 | 4.18 Bn |
| Nov 3, 2023 | 4.27 Bn |
| Aug 4, 2023 | 4.29 Bn |
| May 5, 2023 | 4.28 Bn |
| Feb 3, 2023 | 4.35 Bn |
| Oct 28, 2022 | 4.38 Bn |
| Jul 29, 2022 | 4.38 Bn |
| Apr 29, 2022 | 4.43 Bn |
| Jan 28, 2022 | 4.48 Bn |
| Oct 29, 2021 | 4.53 Bn |
Science Applications International Non-Current 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=non-current-assets&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();