Huron Consulting (HURN) EBITDA (2009 - 2026)
Huron Consulting's EBITDA came in at $69.84 million for Q3 2026, up 17.0% from $59.69 million a year earlier and up 15.1% from the prior quarter.
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Analysis
Huron Consulting (HURN) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Huron Consulting reported EBITDA of $236.56 million, up 14.3% year-over-year; for FY2025, it was $212.15 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 150.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $195.2 million in FY2024 (+29.2%), $151.06 million in FY2023 (+17.7%), $128.29 million in FY2022 (+61.1%) and $79.61 million in FY2021.
- The Q3 2026 figure represents the highest quarterly EBITDA since Q4 2009.
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 20.3% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 92.2%), and the weakest in Q2 2025 (a decline of 19.3%).
- Business Quant data shows HURN's EBITDA at $60.69 million (Q2 2026), $46.59 million (Q1 2026) and $59.44 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn | 711.62 Mn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn | 306.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn | 256.13 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn | 327.51 Mn |
| 10 | Huron Consulting | 2.52 Bn | 2.41 Bn | 167.42 Mn | 69.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.84 Mn |
| Jun 30, 2026 | 60.69 Mn |
| Mar 31, 2026 | 46.59 Mn |
| Dec 31, 2025 | 59.44 Mn |
| Sep 30, 2025 | 59.69 Mn |
| Jun 30, 2025 | 53.06 Mn |
| Mar 31, 2025 | 39.97 Mn |
| Dec 31, 2024 | 54.31 Mn |
| Sep 30, 2024 | 49.05 Mn |
| Jun 30, 2024 | 65.72 Mn |
| Mar 31, 2024 | 26.12 Mn |
| Dec 31, 2023 | 36.33 Mn |
| Sep 30, 2023 | 43.64 Mn |
| Jun 30, 2023 | 46.05 Mn |
| Mar 31, 2023 | 25.03 Mn |
| Dec 31, 2022 | 32.85 Mn |
| Sep 30, 2022 | 36.31 Mn |
| Jun 30, 2022 | 36.11 Mn |
| Mar 31, 2022 | 23.02 Mn |
| Dec 31, 2021 | 17.10 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();