RLJ Lodging Trust (RLJ) Other Operating Expenses (2010 - 2026)
RLJ Lodging Trust's Other Operating Expenses was $313.35 million in Q2 2026, up 4.8% from $298.97 million a year earlier and up 4.7% from the prior quarter.
RLJ Lodging Trust (RLJ) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, RLJ Lodging Trust's Other Operating Expenses was $1.2 billion through Jun 30, 2026, up 2.5% year-over-year; for FY2025, it was $1.18 billion, up 0.9% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $1.16 billion in FY2024 (+4.5%), $1.11 billion in FY2023 (+9.6%), $1.02 billion in FY2022 (+8.9%) and $933 million in FY2021 (+35.4%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q3 2021.
- Compared with a year earlier, Other Operating Expenses has increased for 15 straight quarters, with growth averaging 2.3% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2021 (growth of 135.1%); the worst was Q3 2022 (a decline of 25.1%).
- Per Business Quant data, RLJ's Other Operating Expenses in the three quarters before Q2 2026 was $299.16 million (Q1 2026), $289.17 million (Q4 2025) and $297.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | RLJ Lodging Trust | 1.68 Bn | -378.92 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 313.35 Mn |
| Mar 31, 2026 | 299.16 Mn |
| Dec 31, 2025 | 289.17 Mn |
| Sep 30, 2025 | 297.01 Mn |
| Jun 30, 2025 | 298.97 Mn |
| Mar 31, 2025 | 290.04 Mn |
| Dec 31, 2024 | 287.73 Mn |
| Sep 30, 2024 | 292.64 Mn |
| Jun 30, 2024 | 298.05 Mn |
| Mar 31, 2024 | 285.99 Mn |
| Dec 31, 2023 | 276.70 Mn |
| Sep 30, 2023 | 285.20 Mn |
| Jun 30, 2023 | 281.46 Mn |
| Mar 31, 2023 | 270.64 Mn |
| Dec 31, 2022 | 260.99 Mn |
| Sep 30, 2022 | 266.48 Mn |
| Jun 30, 2022 | 260.39 Mn |
| Mar 31, 2022 | 228.42 Mn |
| Dec 31, 2021 | 223.88 Mn |
| Sep 30, 2021 | 355.61 Mn |
RLJ Lodging Trust Other 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=other-operating-expenses&ticker=RLJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "RLJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=RLJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();