Fti Consulting (FCN) Return on Capital Employed [ROCE] (2010 - 2026)
Fti Consulting's Return on Capital Employed [ROCE] came in at 13.88% for Q2 2026, up 2.00 percentage points from 11.88% a year earlier but down 0.09 percentage points from the prior quarter.
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Analysis
Fti Consulting (FCN) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Fti Consulting's Return on Capital Employed [ROCE] was 15.15%, up 1.42 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +1.75 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 13.73% in FY2024 (-2.06 pp), 15.79% in FY2023 (+3.14 pp), 12.65% in FY2022 (-1.40 pp) and 14.05% in FY2021 (+0.65 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 11.07% (Q1 2023) to 16.21% (Q2 2024).
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -0.46 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2024 (a gain of 4.15 percentage points), and the weakest in Q2 2025 (a drop of 4.33 percentage points).
- Business Quant data shows FCN's Return on Capital Employed [ROCE] at 13.97% (Q1 2026), 15.47% (Q4 2025) and 12.99% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 8.75% |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 30.79% |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 25.89% |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 29.65% |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 7.98% |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Fti Consulting | 4.36 Bn | 3.58 Bn | 316.27 Mn | 13.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.88% |
| Mar 31, 2026 | 13.97% |
| Dec 31, 2025 | 15.47% |
| Sep 30, 2025 | 12.99% |
| Jun 30, 2025 | 11.88% |
| Mar 31, 2025 | 11.51% |
| Dec 31, 2024 | 13.23% |
| Sep 30, 2024 | 15.67% |
| Jun 30, 2024 | 16.21% |
| Mar 31, 2024 | 15.21% |
| Dec 31, 2023 | 15.54% |
| Sep 30, 2023 | 13.02% |
| Jun 30, 2023 | 12.49% |
| Mar 31, 2023 | 11.07% |
| Dec 31, 2022 | 12.70% |
| Sep 30, 2022 | 11.79% |
| Jun 30, 2022 | 11.77% |
| Mar 31, 2022 | 12.04% |
| Dec 31, 2021 | 13.36% |
| Sep 30, 2021 | 14.27% |
API Access
Fti Consulting 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=FCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FCN", "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=FCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();