Huron Consulting (HURN) Return on Capital Employed [ROCE] (2010 - 2026)
Huron Consulting's Return on Capital Employed [ROCE] was 14.31% in Q2 2026, up 0.02 percentage points from 14.28% a year earlier and up 0.55 percentage points from the prior quarter.
Huron Consulting (HURN) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Huron Consulting came in at 16.98%, down 0.53 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +20.22 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 17.51% in FY2024 (+4.00 pp), 13.51% in FY2023 (+2.59 pp), 10.92% in FY2022 (+4.92 pp) and 6.00% in FY2021 (+9.24 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 3.35% (Q3 2021) and 16.93% (Q4 2024) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in six of the last eight quarters, with an average year-over-year change of +1.11 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 9.27 percentage points); the worst was Q1 2026 (a drop of 2.14 percentage points).
- Per Business Quant data, HURN's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 13.76% (Q1 2026), 15.50% (Q4 2025) and 14.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Huron Consulting | 2.58 Bn | 2.47 Bn | 163.86 Mn | 14.31% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.31% |
| Mar 31, 2026 | 13.76% |
| Dec 31, 2025 | 15.50% |
| Sep 30, 2025 | 14.84% |
| Jun 30, 2025 | 14.28% |
| Mar 31, 2025 | 15.90% |
| Dec 31, 2024 | 16.93% |
| Sep 30, 2024 | 14.36% |
| Jun 30, 2024 | 13.19% |
| Mar 31, 2024 | 11.36% |
| Dec 31, 2023 | 12.93% |
| Sep 30, 2023 | 12.04% |
| Jun 30, 2023 | 10.77% |
| Mar 31, 2023 | 9.55% |
| Dec 31, 2022 | 10.49% |
| Sep 30, 2022 | 8.53% |
| Jun 30, 2022 | 7.28% |
| Mar 31, 2022 | 5.99% |
| Dec 31, 2021 | 6.01% |
| Sep 30, 2021 | 3.35% |
Huron 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=HURN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "HURN", "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=HURN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();