Apple Hospitality REIT (APLE) Total Operating Expenses (2009 - 2026)
Apple Hospitality REIT's Operating Expenses was $316.13 million in Q3 2026, up 3.4% from $305.76 million a year earlier and up 0.5% from the prior quarter.
Apple Hospitality REIT (APLE) Total Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Apple Hospitality REIT's Operating Expenses was $1.2 billion through Sep 30, 2026, up 2.7% year-over-year; for FY2025, it came in at $1.17 billion, up 0.8% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.16 billion in FY2024 (+5.7%), $1.1 billion in FY2023 (+6.1%), $1.03 billion in FY2022 (+21.6%) and $850.42 million in FY2021 (+19.0%).
- The Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 2.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 31.8%); the worst was Q4 2023 (a decline of 2.9%).
- Per Business Quant data, APLE's Operating Expenses in the three quarters before Q3 2026 was $314.51 million (Q2 2026), $289.73 million (Q1 2026) and $282.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Apple Hospitality REIT | 2.30 Bn | 2.24 Bn | 168.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 316.13 Mn |
| Jun 30, 2026 | 314.51 Mn |
| Mar 31, 2026 | 289.73 Mn |
| Dec 31, 2025 | 282.02 Mn |
| Sep 30, 2025 | 305.76 Mn |
| Jun 30, 2025 | 299.52 Mn |
| Mar 31, 2025 | 280.40 Mn |
| Dec 31, 2024 | 284.66 Mn |
| Sep 30, 2024 | 301.12 Mn |
| Jun 30, 2024 | 297.01 Mn |
| Mar 31, 2024 | 275.66 Mn |
| Dec 31, 2023 | 273.55 Mn |
| Sep 30, 2023 | 281.97 Mn |
| Jun 30, 2023 | 278.60 Mn |
| Mar 31, 2023 | 262.21 Mn |
| Dec 31, 2022 | 281.63 Mn |
| Sep 30, 2022 | 267.53 Mn |
| Jun 30, 2022 | 256.92 Mn |
| Mar 31, 2022 | 227.64 Mn |
| Dec 31, 2021 | 222.50 Mn |
Apple Hospitality REIT 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=APLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "ticker": "APLE", "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=APLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();