Formula Systems (1985) (FORTY) Goodwill & Intangibles (2009 - 2026)
Formula Systems (1985) (FORTY) reported Goodwill & Intangibles of $871.11 million for Q2 2026, down 37.0% from $1.38 billion a year earlier but up 6.3% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) posted Goodwill & Intangibles of $793.86 million, down 33.4% from FY2024.
- Goodwill & Intangibles has a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- By year, Goodwill & Intangibles came in at $1.19 billion in FY2024 (+4.3%), $1.14 billion in FY2023 (-0.5%), $1.15 billion in FY2022 (-2.2%) and $1.17 billion in FY2021 (+7.3%).
- Five-year quarterly Goodwill & Intangibles spans a low of $793.86 million in Q4 2025 and a high of $1.38 billion in Q2 2025.
- Year over year, Goodwill & Intangibles has now declined in each of the last four quarters, with an average decline of 10.1% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was Q2 2025 (growth of 23.7%); the low point was Q2 2026 (a decline of 37.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $819.13 million (Q1 2026), $793.86 million (Q4 2025) and $956.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 871.11 Mn |
| Mar 31, 2026 | 819.13 Mn |
| Dec 31, 2025 | 793.86 Mn |
| Sep 30, 2025 | 956.58 Mn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.23 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.14 Bn |
| Dec 31, 2022 | 1.15 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 1.20 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.16 Bn |
API Access
Formula Systems (1985) 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=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "FORTY", "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=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();