Howard Hughes Holdings (HHH) General and Administrative (2022 - 2026)
Howard Hughes Holdings (HHH) reported Selling, General & Administrative of $28.8 million for Q3 2026, up 1.8% from $28.28 million a year earlier but down 20.3% from the prior quarter.
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Analysis
Howard Hughes Holdings (HHH) General and Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Howard Hughes Holdings' Selling, General & Administrative came in at $127.67 million, up 18.1% year-over-year; for FY2025, it was $122.24 million, up 33.2% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a four-year compound annual growth rate of 10.5% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $91.75 million in FY2024 (+5.9%), $86.67 million in FY2023 (+6.0%), $81.77 million in FY2022 (-0.3%) and $81.99 million in FY2021.
- Five-year quarterly Selling, General & Administrative spans a low of $19.47 million in Q3 2022 and a high of $36.97 million in Q4 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last ten quarters, with growth averaging 20.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 62.0%); the low point was Q1 2024 (a decline of 7.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $36.14 million (Q2 2026), $25.76 million (Q1 2026) and $36.97 million (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 | 28.80 Mn |
| Jun 30, 2026 | 36.14 Mn |
| Mar 31, 2026 | 25.76 Mn |
| Dec 31, 2025 | 36.97 Mn |
| Sep 30, 2025 | 28.28 Mn |
| Jun 30, 2025 | 34.55 Mn |
| Mar 31, 2025 | 22.44 Mn |
| Dec 31, 2024 | 22.82 Mn |
| Sep 30, 2024 | 24.86 Mn |
| Jun 30, 2024 | 22.36 Mn |
| Mar 31, 2024 | 21.71 Mn |
| Dec 31, 2023 | 21.30 Mn |
| Sep 30, 2023 | 21.60 Mn |
| Jun 30, 2023 | 20.22 Mn |
| Mar 31, 2023 | 23.55 Mn |
| Dec 31, 2022 | 20.90 Mn |
| Sep 30, 2022 | 19.47 Mn |
API Access
Howard Hughes Holdings General and Administrative 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=general-and-administrative&ticker=HHH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();