Formula Systems (1985) (FORTY) Income from Non-Controlling Interests (2009 - 2026)
Formula Systems (1985) (FORTY) reported Income from Non-Controlling Interests of $28.3 million for Q2 2026, down 0.3% from $28.39 million a year earlier but up 4.4% from the prior quarter.
Formula Systems (1985) (FORTY) Income from Non-Controlling Interests (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Formula Systems (1985)'s Income from Non-Controlling Interests came in at $66.89 million, down 43.6% year-over-year; for FY2025, it was -$99.5 million.
- By year, Income from Non-Controlling Interests came in at $114.12 million in FY2024 (+12.2%), $101.72 million in FY2023 (-14.0%), $118.27 million in FY2022 (+35.5%) and $87.32 million in FY2021 (-23.4%).
- Five-year quarterly Income from Non-Controlling Interests spans a low of -$19.16 million in Q4 2025 and a high of $41.84 million in Q2 2022.
- Year over year, Income from Non-Controlling Interests gained in four of the last seven quarters, with growth averaging 7.7%.
- The high point for year-over-year Income from Non-Controlling Interests in five years was Q2 2022 (growth of 100.7%); the low point was Q2 2023 (a decline of 37.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.12 million (Q1 2026), -$19.16 million (Q4 2025) and $30.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inc. Minority (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn | 150.00 Mn |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn | -94,159.29 |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | - |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn | 124,000.00 |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn | - |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.10 Bn | 158.43 Mn | 28.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.30 Mn |
| Mar 31, 2026 | 27.12 Mn |
| Dec 31, 2025 | -19.16 Mn |
| Sep 30, 2025 | 23.10 Mn |
| Jun 30, 2025 | 20.15 Mn |
| Mar 31, 2025 | 31.07 Mn |
| Dec 31, 2024 | 31.00 Mn |
| Sep 30, 2024 | 17.87 Mn |
| Jun 30, 2024 | 28.59 Mn |
| Mar 31, 2024 | 26.47 Mn |
| Dec 31, 2023 | 24.87 Mn |
| Sep 30, 2023 | 24.13 Mn |
| Jun 30, 2023 | 26.15 Mn |
| Mar 31, 2023 | 26.57 Mn |
| Dec 31, 2022 | 24.65 Mn |
| Sep 30, 2022 | 24.58 Mn |
| Jun 30, 2022 | 41.84 Mn |
| Mar 31, 2022 | 27.21 Mn |
| Dec 31, 2021 | 24.21 Mn |
| Sep 30, 2021 | 21.45 Mn |
Formula Systems (1985) Income from Non-Controlling Interests 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=income-from-non-controlling-interests&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();