Science Applications International (SAIC) Goodwill & Intangibles (2012 - 2026)
Science Applications International's Goodwill & Intangibles was $3.64 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.9% from $3.57 billion a year earlier but down 0.9% from the prior quarter.
Science Applications International (SAIC) Goodwill & Intangibles (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Goodwill & Intangibles at Science Applications International came in at $3.71 billion, up 2.1% from FY2025.
- Goodwill & Intangibles shows a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- In earlier fiscal years, Goodwill & Intangibles was $3.63 billion in FY2025 (-3.1%), $3.75 billion in FY2024 (-4.5%), $3.92 billion in FY2023 (-3.1%) and $4.05 billion in FY2022 (+3.1%).
- Quarterly Goodwill & Intangibles has moved between $3.57 billion (fiscal Q2 2026) and $4.07 billion (fiscal Q3 2022) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for four straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was fiscal Q4 2022 (growth of 3.1%); the worst was fiscal Q1 2024 (a decline of 4.5%).
- Per Business Quant data, SAIC's Goodwill & Intangibles in the three fiscal quarters before Q2 2027 was $3.67 billion (Q1 2027), $3.71 billion (Q4 2026) and $3.74 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.92 Bn | 38.42 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.86 Bn | 26.03 Bn | 1.83 Bn |
| 3 | Wipro | 22.00 Bn | 17.14 Bn | 745.00 Mn |
| 4 | Cdw | 20.68 Bn | 18.67 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.81 Bn | 13.97 Bn | 1.43 Bn |
| 6 | Cgi | 18.27 Bn | 16.07 Bn | - |
| 7 | Arrow Electronics | 10.78 Bn | 9.73 Bn | 1.13 Bn |
| 8 | Avnet | 7.31 Bn | 6.49 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.98 Bn | 2.62 Bn | 429.57 Mn |
| 10 | Science Applications International | 6.06 Bn | 5.60 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.64 Bn |
| May 1, 2026 | 3.67 Bn |
| Jan 30, 2026 | 3.71 Bn |
| Oct 31, 2025 | 3.74 Bn |
| Aug 1, 2025 | 3.57 Bn |
| May 2, 2025 | 3.60 Bn |
| Jan 31, 2025 | 3.63 Bn |
| Nov 1, 2024 | 3.66 Bn |
| Aug 2, 2024 | 3.69 Bn |
| May 3, 2024 | 3.72 Bn |
| Feb 2, 2024 | 3.75 Bn |
| Nov 3, 2023 | 3.77 Bn |
| Aug 4, 2023 | 3.80 Bn |
| May 5, 2023 | 3.83 Bn |
| Feb 3, 2023 | 3.92 Bn |
| Oct 28, 2022 | 3.95 Bn |
| Jul 29, 2022 | 3.98 Bn |
| Apr 29, 2022 | 4.01 Bn |
| Jan 28, 2022 | 4.05 Bn |
| Oct 29, 2021 | 4.07 Bn |
Science Applications International Goodwill & 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=goodwill-and-intangibles&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();