Presidio Property Trust (SQFT) Operating Expenses (2010 - 2026)
Presidio Property Trust (SQFT) posted Operating Expenses of $1.26 million for Q2 2026, down 13.9% from $1.46 million a year earlier and down 18.5% from the prior quarter.
Presidio Property Trust (SQFT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Presidio Property Trust was $22.9 million, up 7.6% year-over-year; for FY2025, it was $23.17 million, up 8.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Presidio Property Trust's Operating Expenses was $21.27 million in FY2024 (-0.7%), $21.43 million in FY2023 (+22.6%), $17.47 million in FY2022 (-5.1%) and $18.41 million in FY2021 (-18.4%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 121.3%; the weakest was Q1 2024, with a decline of 67.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.54 million (Q1 2026), $18.56 million (Q4 2025) and $1.53 million (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 | Presidio Property Trust | 1.92 Mn | 9.49 Mn | - | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 18.56 Mn |
| Sep 30, 2025 | 1.53 Mn |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 1.61 Mn |
| Dec 31, 2024 | 16.61 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 7.51 Mn |
| Sep 30, 2023 | 4.47 Mn |
| Jun 30, 2023 | 4.58 Mn |
| Mar 31, 2023 | 4.87 Mn |
| Dec 31, 2022 | 4.82 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 3.88 Mn |
| Mar 31, 2022 | 4.51 Mn |
| Dec 31, 2021 | 4.91 Mn |
| Sep 30, 2021 | 4.20 Mn |
Presidio Property Trust 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=SQFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SQFT", "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=SQFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();