Host Hotels & Resorts (HST) Operating Margin (2009 - 2026)
Host Hotels & Resorts' Operating Margin came in at 17.87% for Q2 2026, up 0.40 percentage points from 17.47% a year earlier but down 1.53 percentage points from the prior quarter.
Host Hotels & Resorts (HST) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Host Hotels & Resorts reported Operating Margin of 14.55%, up 0.14 percentage points year-over-year; for FY2025, it came in at 13.98%, down 1.41 percentage points from FY2024.
- Operating Margin has declined in each of the last three years, though with a five-year change of +72.81 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 15.39% in FY2024 (-0.18 pp), 15.57% in FY2023 (-0.22 pp), 15.79% in FY2022 (+24.44 pp) and -8.65% in FY2021 (+50.18 pp).
- The five-year range for quarterly Operating Margin is -11.26% (Q3 2021) to 23.68% (Q2 2022).
- Year-over-year, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of -1.11 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q3 2021 (a gain of 149.35 percentage points), and the weakest in Q2 2023 (a drop of 5.80 percentage points).
- Business Quant data shows HST's Operating Margin at 19.39% (Q1 2026), 11.98% (Q4 2025) and 7.59% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.88 Bn | 147.37 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 121.42 Bn | 116.47 Bn | - | 51.59% |
| 3 | Simon Property | 64.57 Bn | 60.42 Bn | - | 43.38% |
| 4 | Realty Income | 51.61 Bn | 49.83 Bn | - | - |
| 5 | Public Storage | 50.77 Bn | 49.76 Bn | - | 37.85% |
| 6 | Ventas | 41.71 Bn | 40.40 Bn | - | - |
| 7 | Extra Space Storage | 28.24 Bn | 28.24 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.03 Bn | 23.15 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | - |
| 10 | Host Hotels & Resorts | 15.79 Bn | 10.83 Bn | 609.00 Mn | 17.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.87% |
| Mar 31, 2026 | 19.39% |
| Dec 31, 2025 | 11.98% |
| Sep 30, 2025 | 7.59% |
| Jun 30, 2025 | 17.47% |
| Mar 31, 2025 | 17.88% |
| Dec 31, 2024 | 10.99% |
| Sep 30, 2024 | 10.24% |
| Jun 30, 2024 | 19.92% |
| Mar 31, 2024 | 19.78% |
| Dec 31, 2023 | 13.08% |
| Sep 30, 2023 | 12.93% |
| Jun 30, 2023 | 17.88% |
| Mar 31, 2023 | 17.96% |
| Dec 31, 2022 | 14.09% |
| Sep 30, 2022 | 12.45% |
| Jun 30, 2022 | 23.68% |
| Mar 31, 2022 | 11.36% |
| Dec 31, 2021 | 7.92% |
| Sep 30, 2021 | -11.26% |
Host Hotels & Resorts Operating Margin 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-margin&ticker=HST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=HST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();