Huron Consulting (HURN) Property, Plant & Equipment (Net) (2009 - 2026)
Huron Consulting's Property, Plant & Equipment (Net) was $27.85 million in Q3 2026, up 28.1% from $21.75 million a year earlier and up 0.6% from the prior quarter.
Huron Consulting (HURN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Huron Consulting came in at $23.47 million, up 8.3% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $21.68 million in FY2024 (-8.6%), $23.73 million in FY2023 (-9.1%), $26.11 million in FY2022 (-15.8%) and $31 million in FY2021 (+6.6%).
- The Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q4 2021.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for five straight quarters, with growth averaging 6.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2026 (growth of 40.5%); the worst was Q4 2022 (a decline of 15.8%).
- Per Business Quant data, HURN's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $27.69 million (Q2 2026), $23.83 million (Q1 2026) and $23.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 1.72 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 10.67 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 111.03 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 451.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 791.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 1.74 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 443.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 194.72 Mn |
| 10 | Huron Consulting | 2.63 Bn | 2.52 Bn | 167.42 Mn | 27.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.85 Mn |
| Jun 30, 2026 | 27.69 Mn |
| Mar 31, 2026 | 23.83 Mn |
| Dec 31, 2025 | 23.47 Mn |
| Sep 30, 2025 | 21.75 Mn |
| Jun 30, 2025 | 19.71 Mn |
| Mar 31, 2025 | 21.13 Mn |
| Dec 31, 2024 | 21.68 Mn |
| Sep 30, 2024 | 21.68 Mn |
| Jun 30, 2024 | 23.36 Mn |
| Mar 31, 2024 | 24.58 Mn |
| Dec 31, 2023 | 23.73 Mn |
| Sep 30, 2023 | 22.92 Mn |
| Jun 30, 2023 | 23.44 Mn |
| Mar 31, 2023 | 24.18 Mn |
| Dec 31, 2022 | 26.11 Mn |
| Sep 30, 2022 | 26.19 Mn |
| Jun 30, 2022 | 27.21 Mn |
| Mar 31, 2022 | 26.84 Mn |
| Dec 31, 2021 | 31.00 Mn |
Huron Consulting Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=HURN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=HURN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();