Terreno Realty (TRNO) Operating Expenses (2010 - 2026)
Terreno Realty's Operating Expenses came in at $72.62 million for Q2 2026, up 6.0% from $68.51 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Terreno Realty (TRNO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Terreno Realty reported Operating Expenses of $294.72 million, up 13.0% year-over-year; for FY2025, it came in at $284.3 million, up 21.1% from FY2024.
- Operating Expenses has increased in each of the last 15 years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $234.67 million in FY2024 (+23.2%), $190.46 million in FY2023 (+13.8%), $167.32 million in FY2022 (+24.8%) and $134.07 million in FY2021 (+12.9%).
- The five-year range for quarterly Operating Expenses is $34.64 million (Q3 2021) to $80.07 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for 34 consecutive quarters, with growth averaging 19.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 6.0% in Q2 2026 to 29.1% in Q1 2022.
- Business Quant data shows TRNO's Operating Expenses at $73.75 million (Q1 2026), $80.07 million (Q4 2025) and $68.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Terreno Realty | 6.96 Bn | 6.96 Bn | - | 72.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.62 Mn |
| Mar 31, 2026 | 73.75 Mn |
| Dec 31, 2025 | 80.07 Mn |
| Sep 30, 2025 | 68.29 Mn |
| Jun 30, 2025 | 68.51 Mn |
| Mar 31, 2025 | 67.43 Mn |
| Dec 31, 2024 | 64.52 Mn |
| Sep 30, 2024 | 60.44 Mn |
| Jun 30, 2024 | 57.36 Mn |
| Mar 31, 2024 | 52.34 Mn |
| Dec 31, 2023 | 50.05 Mn |
| Sep 30, 2023 | 47.88 Mn |
| Jun 30, 2023 | 46.61 Mn |
| Mar 31, 2023 | 45.91 Mn |
| Dec 31, 2022 | 46.19 Mn |
| Sep 30, 2022 | 42.27 Mn |
| Jun 30, 2022 | 39.45 Mn |
| Mar 31, 2022 | 39.41 Mn |
| Dec 31, 2021 | 36.79 Mn |
| Sep 30, 2021 | 34.64 Mn |
API Access
Terreno Realty 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=TRNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRNO", "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=TRNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();