Formula Systems (1985) (FORTY) Operating Leases (2009 - 2026)
Formula Systems (1985) (FORTY) recorded Operating Leases of $113.28 million in Q2 2026, down 14.5% from $132.55 million a year earlier but up 7.1% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Operating Leases (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) reported Operating Leases of $107.81 million, down 9.9% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $119.59 million in FY2024 (+41.3%), $84.64 million in FY2023 (+7.2%), $78.97 million in FY2022 (-6.9%) and $84.84 million in FY2021 (-7.0%).
- Quarterly Operating Leases has ranged from $68.94 million in Q2 2022 to $132.55 million in Q2 2025 over the past five years.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with growth averaging 20.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 136.3% in Q3 2021, against a decline of 17.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $105.76 million (Q1 2026), $107.81 million (Q4 2025) and $112.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.28 Mn |
| Mar 31, 2026 | 105.76 Mn |
| Dec 31, 2025 | 107.81 Mn |
| Sep 30, 2025 | 112.45 Mn |
| Jun 30, 2025 | 132.55 Mn |
| Mar 31, 2025 | 117.65 Mn |
| Dec 31, 2024 | 119.59 Mn |
| Sep 30, 2024 | 118.83 Mn |
| Jun 30, 2024 | 79.76 Mn |
| Mar 31, 2024 | 83.27 Mn |
| Dec 31, 2023 | 84.64 Mn |
| Sep 30, 2023 | 75.58 Mn |
| Jun 30, 2023 | 79.54 Mn |
| Mar 31, 2023 | 79.42 Mn |
| Dec 31, 2022 | 78.97 Mn |
| Sep 30, 2022 | 77.09 Mn |
| Jun 30, 2022 | 68.94 Mn |
| Mar 31, 2022 | 77.94 Mn |
| Dec 31, 2021 | 84.84 Mn |
| Sep 30, 2021 | 77.66 Mn |
API Access
Formula Systems (1985) Operating Leases 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=operating-leases&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();