TDH Holdings (PETZ) Accumulated Expenses (2016 - 2025)
TDH Holdings (PETZ) recorded Accumulated Expenses of $15,000 in Q4 2025, unchanged from $15,000 a year earlier.
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Analysis
TDH Holdings (PETZ) Accumulated Expenses (2016 - 2025) Analysis & Trends
Starting with Q4 2016, TDH Holdings' Accumulated Expenses history includes 16 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -37.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $15,000 in FY2024, $160,014 in FY2022 (unchanged) and $160,014 in FY2021 (unchanged).
- Quarterly Accumulated Expenses has ranged from $15,000 in Q4 2024 to $160,014 in Q2 2023 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn |
| 10 | TDH Holdings | 13.21 Mn | -105.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15,000.00 |
| Dec 31, 2024 | 15,000.00 |
| Jun 30, 2023 | 160,014.00 |
| Dec 31, 2022 | 160,014.00 |
| Jun 30, 2022 | 160,014.00 |
| Dec 31, 2021 | 160,014.00 |
| Jun 30, 2021 | 160,014.00 |
| Dec 31, 2020 | 160,014.00 |
| Jun 30, 2020 | 160,014.00 |
| Dec 31, 2019 | 160,014.00 |
| Jun 30, 2019 | 160,014.00 |
| Dec 31, 2018 | 160,014.00 |
| Jun 30, 2018 | 160,014.00 |
| Dec 31, 2017 | 160,014.00 |
| Jun 30, 2017 | 195,229.00 |
| Dec 31, 2016 | 140,570.00 |
API Access
TDH Holdings Accumulated 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=accumulated-expenses&ticker=PETZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PETZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PETZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();