Huron Consulting (HURN) Cost of Revenue (2009 - 2026)
Huron Consulting's Cost of Revenue was $311.19 million in Q2 2026, up 15.7% from $269.03 million a year earlier and up 1.0% from the prior quarter.
Huron Consulting (HURN) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huron Consulting's Cost of Revenue was $1.19 billion through Jun 30, 2026, up 13.2% year-over-year; for FY2025, it came in at $1.12 billion, up 11.1% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.01 billion in FY2024 (+7.1%), $942.7 million in FY2023 (+20.0%), $785.88 million in FY2022 (+23.4%) and $636.78 million in FY2021 (+7.5%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2009.
- Compared with a year earlier, Cost of Revenue has increased for 21 straight quarters, with growth averaging 10.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 1.3% (Q3 2024) to 54.5% (Q4 2021).
- Per Business Quant data, HURN's Cost of Revenue in the three quarters before Q2 2026 was $308.19 million (Q1 2026), $286.56 million (Q4 2025) and $288.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Huron Consulting | 2.58 Bn | 2.47 Bn | 163.86 Mn | 311.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311.19 Mn |
| Mar 31, 2026 | 308.19 Mn |
| Dec 31, 2025 | 286.56 Mn |
| Sep 30, 2025 | 288.80 Mn |
| Jun 30, 2025 | 269.03 Mn |
| Mar 31, 2025 | 278.04 Mn |
| Dec 31, 2024 | 260.32 Mn |
| Sep 30, 2024 | 247.85 Mn |
| Jun 30, 2024 | 248.61 Mn |
| Mar 31, 2024 | 253.30 Mn |
| Dec 31, 2023 | 234.34 Mn |
| Sep 30, 2023 | 244.77 Mn |
| Jun 30, 2023 | 235.20 Mn |
| Mar 31, 2023 | 228.38 Mn |
| Dec 31, 2022 | 216.03 Mn |
| Sep 30, 2022 | 193.37 Mn |
| Jun 30, 2022 | 189.23 Mn |
| Mar 31, 2022 | 187.25 Mn |
| Dec 31, 2021 | 173.23 Mn |
| Sep 30, 2021 | 153.90 Mn |
Huron Consulting Cost of Revenue 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=cost-of-revenue&ticker=HURN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=HURN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();