Science Applications International (SAIC) Intangibles (2013 - 2026)
Science Applications International (SAIC) posted Intangibles of $697 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 3.3% from $721 million a year earlier and down 4.4% from the prior quarter.
Science Applications International (SAIC) Intangibles (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International's Intangibles came in at $761 million, down 2.3% from FY2025.
- Annual Intangibles has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -7.7% (FY2021 to FY2026).
- In prior fiscal years, Science Applications International's Intangibles was $779 million in FY2025 (-12.9%), $894 million in FY2024 (-11.4%), $1.01 billion in FY2023 (-10.9%) and $1.13 billion in FY2022 (-0.5%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Intangibles since fiscal Q3 2019.
- On a year-over-year basis, Intangibles has declined in each of the last 22 quarters, with an average decline of 8.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Intangibles ranged from 0.5% (fiscal Q1 2023) to 13.8% (fiscal Q2 2026).
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $729 million (Q1 2027), $761 million (Q4 2026) and $779 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.15 Bn | 38.65 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 31.99 Bn | 25.15 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Wipro | 22.42 Bn | 17.56 Bn | 745.00 Mn | 518.00 Mn |
| 4 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 3.56 Bn |
| 5 | Cdw | 19.85 Bn | 17.84 Bn | 1.32 Bn | 1.10 Bn |
| 6 | Cgi | 17.61 Bn | 15.41 Bn | - | 575.12 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 67.51 Mn |
| 8 | Avnet | 7.59 Bn | 6.77 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.90 Bn | 2.54 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Science Applications International | 5.79 Bn | 5.33 Bn | 239.00 Mn | 697.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 697.00 Mn |
| May 1, 2026 | 729.00 Mn |
| Jan 30, 2026 | 761.00 Mn |
| Oct 31, 2025 | 779.00 Mn |
| Aug 1, 2025 | 721.00 Mn |
| May 2, 2025 | 750.00 Mn |
| Jan 31, 2025 | 779.00 Mn |
| Nov 1, 2024 | 807.00 Mn |
| Aug 2, 2024 | 836.00 Mn |
| May 3, 2024 | 865.00 Mn |
| Feb 2, 2024 | 894.00 Mn |
| Nov 3, 2023 | 923.00 Mn |
| Aug 4, 2023 | 951.00 Mn |
| May 5, 2023 | 980.00 Mn |
| Feb 3, 2023 | 1.01 Bn |
| Oct 28, 2022 | 1.04 Bn |
| Jul 29, 2022 | 1.07 Bn |
| Apr 29, 2022 | 1.10 Bn |
| Jan 28, 2022 | 1.13 Bn |
| Oct 29, 2021 | 1.17 Bn |
Science Applications International Intangibles 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=intangibles&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();