Huron Consulting (HURN) EBITDA (2009 - 2026)
Huron Consulting's EBITDA came in at $60.4 million for Q2 2026, up 14.4% from $52.77 million a year earlier and up 30.4% from the prior quarter.
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Analysis
Huron Consulting (HURN) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Huron Consulting reported EBITDA of $225.25 million, up 15.4% year-over-year; for FY2025, it was $211 million, up 8.7% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 173.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $194.12 million in FY2024 (+29.2%), $150.29 million in FY2023 (+18.2%), $127.12 million in FY2022 (+61.3%) and $78.82 million in FY2021.
- The Q2 2026 figure represents the highest quarterly EBITDA since Q2 2024.
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 19.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 91.0%), and the weakest in Q2 2025 (a decline of 19.4%).
- Business Quant data shows HURN's EBITDA at $46.3 million (Q1 2026), $59.15 million (Q4 2025) and $59.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Huron Consulting | 2.49 Bn | 2.38 Bn | 163.86 Mn | 60.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.40 Mn |
| Mar 31, 2026 | 46.30 Mn |
| Dec 31, 2025 | 59.15 Mn |
| Sep 30, 2025 | 59.40 Mn |
| Jun 30, 2025 | 52.77 Mn |
| Mar 31, 2025 | 39.68 Mn |
| Dec 31, 2024 | 54.02 Mn |
| Sep 30, 2024 | 48.77 Mn |
| Jun 30, 2024 | 65.44 Mn |
| Mar 31, 2024 | 25.89 Mn |
| Dec 31, 2023 | 36.14 Mn |
| Sep 30, 2023 | 43.45 Mn |
| Jun 30, 2023 | 45.86 Mn |
| Mar 31, 2023 | 24.84 Mn |
| Dec 31, 2022 | 32.28 Mn |
| Sep 30, 2022 | 36.11 Mn |
| Jun 30, 2022 | 35.91 Mn |
| Mar 31, 2022 | 22.82 Mn |
| Dec 31, 2021 | 16.90 Mn |
| Sep 30, 2021 | 24.63 Mn |
API Access
Huron Consulting EBITDA 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=ebitda&ticker=HURN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HURN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();