Host Hotels & Resorts (HST) Operating Expenses (2009 - 2026)
Host Hotels & Resorts (HST) reported Operating Expenses of $1.35 billion for Q2 2026, up 2.9% from $1.31 billion a year earlier and up 1.6% from the prior quarter.
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Analysis
Host Hotels & Resorts (HST) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Host Hotels & Resorts' Operating Expenses came in at $5.31 billion, up 4.8% year-over-year; for FY2025, it came in at $5.26 billion, up 9.4% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $4.81 billion in FY2024 (+7.2%), $4.48 billion in FY2023 (+8.5%), $4.13 billion in FY2022 (+31.6%) and $3.14 billion in FY2021 (+22.0%).
- Five-year quarterly Operating Expenses spans a low of $919 million in Q4 2021 and a high of $1.41 billion in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 21 quarters, with growth averaging 8.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 1.3% (Q1 2026) to 82.0% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.33 billion (Q1 2026), $1.41 billion (Q4 2025) and $1.23 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.83 Bn | 147.32 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 124.12 Bn | 119.16 Bn | - | 1.47 Bn |
| 3 | Simon Property | 64.65 Bn | 60.50 Bn | - | 994.93 Mn |
| 4 | Realty Income | 51.61 Bn | 49.83 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.87 Bn | 49.86 Bn | - | 766.20 Mn |
| 6 | Ventas | 41.57 Bn | 40.26 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.33 Bn | 28.33 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.05 Bn | 23.16 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.76 Bn | 22.54 Bn | - | 566.18 Mn |
| 10 | Host Hotels & Resorts | 15.80 Bn | 10.83 Bn | 609.00 Mn | 1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 1.41 Bn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 1.31 Bn |
| Dec 31, 2024 | 1.27 Bn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.06 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 952.00 Mn |
| Dec 31, 2021 | 919.00 Mn |
| Sep 30, 2021 | 939.00 Mn |
API Access
Host Hotels & Resorts 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=operating-expenses&ticker=HST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();