Power REIT (PW) Operating Expenses (2011 - 2026)
Power REIT (PW) posted Operating Expenses of $742,165 for Q2 2026, down 40.8% from $1.25 million a year earlier and down 12.2% from the prior quarter.
Power REIT (PW) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Power REIT was $4.11 million, down 53.3% year-over-year; for FY2025, it came in at $5.65 million, down 80.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, Power REIT's Operating Expenses was $28.36 million in FY2024, $2.22 million in FY2023 (-90.2%), $22.77 million in FY2022 (+587.2%) and $3.31 million in FY2021 (+57.7%).
- Quarterly Operating Expenses has run from a low of -$12.92 million in Q4 2023 to a high of $19.66 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 60.4% over the last seven quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 716.2%; the weakest was Q2 2025, with a decline of 93.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $845,441 (Q1 2026), $1.81 million (Q4 2025) and $713,470 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Power REIT | 2.53 Mn | 2.53 Mn | - | 742,165.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 742,165.00 |
| Mar 31, 2026 | 845,441.00 |
| Dec 31, 2025 | 1.81 Mn |
| Sep 30, 2025 | 713,470.00 |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 3.59 Mn |
| Sep 30, 2024 | 2.10 Mn |
| Jun 30, 2024 | 19.66 Mn |
| Mar 31, 2024 | 3.01 Mn |
| Dec 31, 2023 | -12.92 Mn |
| Sep 30, 2023 | 10.51 Mn |
| Jun 30, 2023 | 2.41 Mn |
| Mar 31, 2023 | 2.22 Mn |
| Dec 31, 2022 | 19.07 Mn |
| Sep 30, 2022 | 1.42 Mn |
| Jun 30, 2022 | 1.29 Mn |
| Mar 31, 2022 | 987,636.00 |
| Dec 31, 2021 | 1.15 Mn |
| Sep 30, 2021 | 721,337.00 |
Power REIT 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=PW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PW", "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=PW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();