Howard Hughes Holdings (HHH) Total Operating Expenses (2022 - 2026)
Howard Hughes Holdings' Operating Expenses was $535.45 million in Q3 2026, up 146.1% from $217.56 million a year earlier but down 40.2% from the prior quarter.
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Analysis
Howard Hughes Holdings (HHH) Total Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Howard Hughes Holdings' Operating Expenses was $2.2 billion through Sep 30, 2026, up 67.0% year-over-year; for FY2025, it came in at $1.16 billion, down 11.4% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of -1.2% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $1.31 billion in FY2024 (+80.7%), $722.51 million in FY2023 (-34.1%), $1.1 billion in FY2022 (-9.7%) and $1.21 billion in FY2021.
- Quarterly Operating Expenses has moved between $149.56 million (Q1 2024) and $895.6 million (Q2 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 93.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 358.0%); the worst was Q3 2023 (a decline of 61.7%).
- Per Business Quant data, HHH's Operating Expenses in the three quarters before Q3 2026 was $895.6 million (Q2 2026), $185.37 million (Q1 2026) and $580.3 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 | 535.45 Mn |
| Jun 30, 2026 | 895.60 Mn |
| Mar 31, 2026 | 185.37 Mn |
| Dec 31, 2025 | 580.30 Mn |
| Sep 30, 2025 | 217.56 Mn |
| Jun 30, 2025 | 195.56 Mn |
| Mar 31, 2025 | 163.76 Mn |
| Dec 31, 2024 | 738.28 Mn |
| Sep 30, 2024 | 222.46 Mn |
| Jun 30, 2024 | 195.49 Mn |
| Mar 31, 2024 | 149.56 Mn |
| Dec 31, 2023 | 211.92 Mn |
| Sep 30, 2023 | 185.30 Mn |
| Jun 30, 2023 | 221.06 Mn |
| Mar 31, 2023 | 191.06 Mn |
| Dec 31, 2022 | 196.26 Mn |
| Sep 30, 2022 | 484.36 Mn |
API Access
Howard Hughes Holdings Total Operating Expenses 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=total-operating-expenses&ticker=HHH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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=total-operating-expenses&ticker=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();