Howard Hughes Holdings (HHH) Price to Earnings (2023 - 2026)
Howard Hughes Holdings' (HHH) Price to Earnings was 14.60 for Q2 2026, down 17.1% from 17.62 a year earlier and down 52.9% from the prior quarter.
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Analysis
Howard Hughes Holdings (HHH) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Howard Hughes Holdings was 38.23, up 96.0% from FY2024.
- By year, Price to Earnings came in at 19.50 in FY2024, 19.66 in FY2022 (-79.8%) and 97.16 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Price to Earnings since Q1 2025.
- Year over year, Price to Earnings gained in two of the last four quarters, with growth averaging 32.6%.
- Per Business Quant data, the three quarters before Q2 2026 came in at 31.02 (Q1 2026), 38.23 (Q4 2025) and 17.80 (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.60 |
| Mar 31, 2026 | 31.02 |
| Dec 31, 2025 | 38.23 |
| Sep 30, 2025 | 17.80 |
| Jun 30, 2025 | 17.62 |
| Mar 31, 2025 | 14.32 |
| Dec 31, 2024 | 19.50 |
| Sep 30, 2024 | 51.29 |
| Jun 30, 2023 | 35.75 |
API Access
Howard Hughes Holdings Price to Earnings 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=price-to-earnings&ticker=HHH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();