Howard Hughes Holdings (HHH) EV to EBITDA (2023 - 2026)
Howard Hughes Holdings' (HHH) EV to EBITDA was 2.43 for Q2 2026, down 32.3% from 3.59 a year earlier and down 39.1% from the prior quarter.
Howard Hughes Holdings (HHH) EV to EBITDA (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Howard Hughes Holdings' EV to EBITDA came in at -4.53; for FY2025, it was 6.73, up 45.8% from FY2024.
- By year, EV to EBITDA came in at 4.61 in FY2024 (-51.7%), 9.55 in FY2023 (+74.2%), 5.49 in FY2022 (-44.6%) and 9.91 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly EV to EBITDA in data going back to Q2 2023.
- Year over year, EV to EBITDA gained in 1 of the last eight quarters, with an average decline of 23.3%.
- The high point for year-over-year EV to EBITDA in five years was Q4 2025 (growth of 45.8%); the low point was Q1 2025 (a decline of 52.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.99 (Q1 2026), 6.73 (Q4 2025) and 4.80 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn |
| 8 | Forestar | 1.33 Bn | -20.06 Mn | 84.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.38 |
| Mar 31, 2026 | 3.89 |
| Dec 31, 2025 | 6.56 |
| Sep 30, 2025 | 4.71 |
| Jun 30, 2025 | 3.53 |
| Mar 31, 2025 | 4.30 |
| Dec 31, 2024 | 4.53 |
| Sep 30, 2024 | 6.12 |
| Jun 30, 2024 | 6.61 |
| Mar 31, 2024 | 8.91 |
| Dec 31, 2023 | 9.25 |
| Sep 30, 2023 | 7.33 |
| Jun 30, 2023 | 6.92 |
Howard Hughes Holdings EV to 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=ev-to-ebitda&ticker=HHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "HHH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();