Terra Property Trust, Inc. (TPTS) Operating Expenses (2019 - 2026)
Terra Property Trust (TPTS) reported Operating Expenses of $8.38 million for Q2 2026, down 24.2% from $11.05 million a year earlier.
Terra Property Trust, Inc. (TPTS) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Terra Property Trust's Operating Expenses came in at $36.76 million, down 17.4% year-over-year; for FY2025, it was $36.76 million, down 19.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $45.75 million in FY2024 (-50.5%), $92.4 million in FY2023 (+101.8%), $45.79 million in FY2022 (+17.7%) and $38.91 million in FY2021 (+45.9%).
- Five-year quarterly Operating Expenses spans a low of $5.6 million in Q3 2024 and a high of $37.76 million in Q3 2023.
- Year over year, Operating Expenses gained in two of the last seven quarters, with an average decline of 22.4%.
- The high point for year-over-year Operating Expenses in five years was Q2 2023 (growth of 200.6%); the low point was Q3 2024 (a decline of 85.2%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.38 Mn |
| Dec 31, 2025 | 10.53 Mn |
| Sep 30, 2025 | 6.80 Mn |
| Jun 30, 2025 | 11.05 Mn |
| Mar 31, 2025 | 8.37 Mn |
| Dec 31, 2024 | 19.47 Mn |
| Sep 30, 2024 | 5.60 Mn |
| Jun 30, 2024 | 10.47 Mn |
| Mar 31, 2024 | 10.21 Mn |
| Dec 31, 2023 | 21.84 Mn |
| Sep 30, 2023 | 37.76 Mn |
| Jun 30, 2023 | 25.82 Mn |
| Mar 31, 2023 | 6.98 Mn |
| Dec 31, 2022 | 11.11 Mn |
| Sep 30, 2022 | 16.87 Mn |
| Jun 30, 2022 | 8.59 Mn |
| Mar 31, 2022 | 9.22 Mn |
| Dec 31, 2021 | 19.39 Mn |
| Sep 30, 2021 | 6.84 Mn |
| Jun 30, 2021 | 7.10 Mn |
Terra Property Trust, Inc. 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=TPTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TPTS", "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=TPTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();