Howard Hughes Holdings (HHH) Price to Earnings (2023 - 2026)
Howard Hughes Holdings' (HHH) Price to Earnings was 25.68 for Q3 2026, up 44.3% from 17.80 a year earlier and up 75.9% from the prior quarter.
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.
- Five-year quarterly Price to Earnings spans a low of 14.32 in Q1 2025 and a high of 51.29 in Q3 2024.
- Year over year, Price to Earnings gained in three of the last five quarters, with growth averaging 34.9%.
- Per Business Quant data, the three quarters before Q3 2026 came in at 14.60 (Q2 2026), 31.02 (Q1 2026) and 38.23 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.68 |
| 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_KEY
import 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();