Howard Hughes Holdings (HHH) Cash & Equivalents (2022 - 2026)
Howard Hughes Holdings (HHH) posted Cash & Equivalents of $2.87 billion for Q3 2026, up 96.9% from $1.46 billion a year earlier and up 8.3% from the prior quarter.
Howard Hughes Holdings (HHH) Cash & Equivalents (2022 - 2026) Analysis & Trends
At the end of FY2025, Howard Hughes Holdings' Cash & Equivalents came in at $1.47 billion, up 146.4% from FY2024.
- Annual Cash & Equivalents shows a four-year compound annual growth rate of 4.8% (FY2021 to FY2025).
- In prior years, Howard Hughes Holdings' Cash & Equivalents was $596.08 million in FY2024 (-5.3%), $629.71 million in FY2023 (+3.2%), $610.21 million in FY2022 (-49.8%) and $1.22 billion in FY2021.
- The Q3 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q3 2022.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last seven quarters, with growth averaging 137.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2026, with growth of 271.9%; the weakest was Q3 2024, with a decline of 17.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $2.65 billion (Q2 2026), $1.84 billion (Q1 2026) and $1.47 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 369.56 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 16.78 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 2.87 Bn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | 64.54 Mn |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | 117.86 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | 240.00 Mn |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | 12.29 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | 657.00 Mn |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | 910.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | 358.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.87 Bn |
| Jun 30, 2026 | 2.65 Bn |
| Mar 31, 2026 | 1.84 Bn |
| Dec 31, 2025 | 1.47 Bn |
| Sep 30, 2025 | 1.46 Bn |
| Jun 30, 2025 | 1.44 Bn |
| Mar 31, 2025 | 493.66 Mn |
| Dec 31, 2024 | 596.08 Mn |
| Sep 30, 2024 | 400.73 Mn |
| Jun 30, 2024 | 433.41 Mn |
| Mar 31, 2024 | 460.74 Mn |
| Dec 31, 2023 | 629.71 Mn |
| Sep 30, 2023 | 484.54 Mn |
| Jun 30, 2023 | 389.41 Mn |
| Mar 31, 2023 | 417.75 Mn |
| Dec 31, 2022 | 610.21 Mn |
| Sep 30, 2022 | 354.61 Mn |
Howard Hughes Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=HHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();