Formula Systems (1985) (FORTY) Goodwill (2009 - 2025)
Formula Systems (1985)'s (FORTY) quarterly Goodwill came in at $646.2 million in Q4 2025, down 33.72% on a YoY basis from $975.1 million in Q4 2024, and down 33.72% quarter-over-quarter from $975.1 million in Q4 2024.
Formula Systems (1985) (FORTY) Goodwill (2009 - 2025) Analysis & Trends
Formula Systems (1985) (FORTY) has reported Goodwill for 17 consecutive years, with $646.2 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Goodwill fell 33.72% year-over-year to $646.2 million; the trailing twelve-month figure through Dec 2025 stood at $646.2 million (down 33.72% YoY), and the FY2025 full-year result was $646.2 million, down 33.72% from the prior year.
- Goodwill eased to $646.2 million in Q4 2025 per FORTY's latest filing, from $975.1 million in the prior quarter.
- Across five years, Goodwill topped out at $975.1 million in Q4 2024 and bottomed at $646.2 million in Q4 2025.
- Historically, Goodwill has averaged $883.4 million across 5 years, with a median of $932.9 million in 2021.
- The sharpest annual moves came in 2021 and 2025: Goodwill advanced 6.93% in 2021, then sank 33.72% in 2025.
- Over 5 years, Goodwill stood at $932.9 million in 2021, then slipped by 0.72% to $926.2 million in 2022, then gained by 1.13% to $936.6 million in 2023, then gained by 4.11% to $975.1 million in 2024, then tumbled by 33.72% to $646.2 million in 2025.
- According to Business Quant data, Goodwill over the past three periods registered $646.2 million, $975.1 million, and $936.6 million for Q4 2025, Q4 2024, and Q4 2023 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 646.24 Mn |
| Dec 31, 2024 | 975.08 Mn |
| Dec 31, 2023 | 936.58 Mn |
| Dec 31, 2022 | 926.16 Mn |
| Dec 31, 2021 | 932.85 Mn |
| Dec 31, 2020 | 872.42 Mn |
| Dec 31, 2019 | 724.19 Mn |
| Dec 31, 2018 | 640.92 Mn |
| Sep 30, 2018 | 637.48 Mn |
| Mar 31, 2018 | 2.83 Mn |
| Dec 31, 2017 | 617.27 Mn |
| Dec 31, 2016 | 640.18 Mn |
| Dec 31, 2015 | 441.02 Mn |
| Jun 30, 2015 | 4.80 Mn |
| Dec 31, 2014 | 373.23 Mn |
| Dec 31, 2013 | 227.43 Mn |
| Dec 31, 2012 | 326.86 Mn |
| Dec 31, 2011 | 8.70 Mn |
| Dec 31, 2010 | 166.50 Mn |
| Dec 31, 2009 | 147.41 Mn |
Formula Systems (1985) Goodwill 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&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();