Science Applications International (SAIC) Prepaid Assets (2013 - 2026)
Science Applications International (SAIC) recorded Prepaid Assets of $129 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 26.3% from $175 million a year earlier but up 26.5% from the prior quarter.
Science Applications International (SAIC) Prepaid Assets (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International reported Prepaid Assets of $122 million, up 56.4% from FY2025.
- Annual Prepaid Assets has a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- Across earlier fiscal years, Prepaid Assets came in at $78 million in FY2025 (-16.1%), $93 million in FY2024 (+60.3%), $58 million in FY2023 (+1.8%) and $57 million in FY2022 (+1.8%).
- Quarterly Prepaid Assets has ranged from $57 million in fiscal Q4 2022 to $175 million in fiscal Q2 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $102 million (Q1 2027), $122 million (Q4 2026) and $145 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 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 |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 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 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 129.00 Mn |
| May 1, 2026 | 102.00 Mn |
| Jan 30, 2026 | 122.00 Mn |
| Oct 31, 2025 | 145.00 Mn |
| Aug 1, 2025 | 175.00 Mn |
| Jan 31, 2025 | 78.00 Mn |
| Feb 2, 2024 | 93.00 Mn |
| Feb 3, 2023 | 58.00 Mn |
| Jan 28, 2022 | 57.00 Mn |
| Jan 29, 2021 | 56.00 Mn |
| Jan 31, 2020 | 40.00 Mn |
| Feb 1, 2019 | 47.00 Mn |
| Feb 2, 2018 | 35.00 Mn |
| Nov 3, 2017 | 134.00 Mn |
| Aug 4, 2017 | 113.00 Mn |
| May 5, 2017 | 128.00 Mn |
| Feb 3, 2017 | 27.00 Mn |
| Nov 4, 2016 | 151.00 Mn |
| Aug 5, 2016 | 144.00 Mn |
| May 6, 2016 | 124.00 Mn |
Science Applications International Prepaid 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=prepaid-assets&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();