Huron Consulting (HURN) Shares Outstanding (2009 - 2026)
Huron Consulting (HURN) recorded Weighted Average Shares Outstanding of 15.92 million in Q3 2026, down 8.2% from 17.34 million a year earlier and down 1.8% from the prior quarter.
Huron Consulting (HURN) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Huron Consulting reported Weighted Average Shares Outstanding of 17.45 million, down 2.5% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for six straight years, with a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 17.89 million in FY2024 (-5.0%), 18.83 million in FY2023 (-7.0%), 20.25 million in FY2022 (-5.6%) and 21.44 million in FY2021 (-2.0%).
- The Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for 22 consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 2.0% (Q4 2021) to 8.3% (Q1 2023).
- Per Business Quant, the preceding three quarters came in at 16.21 million (Q2 2026), 16.98 million (Q1 2026) and 17.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 612.48 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 297.99 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 478.97 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 431.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 202.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 263.59 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 504.80 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 63.75 Mn |
| 10 | Huron Consulting | 2.63 Bn | 2.52 Bn | 167.42 Mn | 15.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.92 Mn |
| Jun 30, 2026 | 16.21 Mn |
| Mar 31, 2026 | 16.98 Mn |
| Dec 31, 2025 | 17.45 Mn |
| Sep 30, 2025 | 17.34 Mn |
| Jun 30, 2025 | 17.32 Mn |
| Mar 31, 2025 | 17.82 Mn |
| Dec 31, 2024 | 17.89 Mn |
| Sep 30, 2024 | 17.75 Mn |
| Jun 30, 2024 | 17.89 Mn |
| Mar 31, 2024 | 18.20 Mn |
| Dec 31, 2023 | 18.83 Mn |
| Sep 30, 2023 | 18.77 Mn |
| Jun 30, 2023 | 18.94 Mn |
| Mar 31, 2023 | 19.12 Mn |
| Dec 31, 2022 | 20.25 Mn |
| Sep 30, 2022 | 20.11 Mn |
| Jun 30, 2022 | 20.58 Mn |
| Mar 31, 2022 | 20.85 Mn |
| Dec 31, 2021 | 21.44 Mn |
Huron Consulting Shares Outstanding 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=shares-outstanding&ticker=HURN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=HURN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();