Formula Systems (1985) (FORTY) Return on Capital Employed [ROCE] (2011 - 2026)
Formula Systems (1985) (FORTY) recorded Return on Capital Employed [ROCE] of 11.16% in Q2 2026, up 0.91 percentage points from 10.25% a year earlier and up 1.29 percentage points from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Formula Systems (1985) reported Return on Capital Employed [ROCE] of 9.97%, down 0.35 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -1.22 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 10.33% in FY2024 (+1.63 pp), 8.70% in FY2023 (-6.93 pp), 15.63% in FY2022 (+3.29 pp) and 12.33% in FY2021 (+1.14 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in 1 of the last eight quarters, with an average year-over-year change of -1.70 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 4.78 percentage points in Q3 2022, against a drop of 3.29 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.87% (Q1 2026), 9.24% (Q4 2025) and 10.29% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.58 Bn | 37.08 Bn | 1.60 Bn | 802.09% |
| 2 | Cognizant Technology Solutions | 32.92 Bn | 26.08 Bn | 1.83 Bn | 19.98% |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | 17.56% |
| 4 | Cdw | 20.89 Bn | 18.88 Bn | 1.32 Bn | 19.62% |
| 5 | Td Synnex | 19.61 Bn | 13.77 Bn | 1.43 Bn | 16.31% |
| 6 | Cgi | 18.26 Bn | 16.06 Bn | - | 15.88% |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 14.39% |
| 8 | Avnet | 7.25 Bn | 6.43 Bn | 865.03 Mn | 10.42% |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 14.69% |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 11.16% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.16% |
| Mar 31, 2026 | 9.87% |
| Dec 31, 2025 | 9.24% |
| Sep 30, 2025 | 10.29% |
| Jun 30, 2025 | 10.25% |
| Mar 31, 2025 | 11.45% |
| Dec 31, 2024 | 12.54% |
| Sep 30, 2024 | 13.21% |
| Jun 30, 2024 | 13.50% |
| Mar 31, 2024 | 13.59% |
| Dec 31, 2023 | 13.69% |
| Sep 30, 2023 | 13.38% |
| Jun 30, 2023 | 13.07% |
| Mar 31, 2023 | 15.62% |
| Dec 31, 2022 | 15.89% |
| Sep 30, 2022 | 15.93% |
| Jun 30, 2022 | 14.96% |
| Mar 31, 2022 | 12.69% |
| Dec 31, 2021 | 11.98% |
| Sep 30, 2021 | 11.15% |
API Access
Formula Systems (1985) Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();