Farmhouse (FMHS) Total Liabilities (2019 - 2026)
Farmhouse (FMHS) recorded Total Liabilities of $7.47 million in Q2 2026, up 205.2% from $2.45 million a year earlier and up 156.0% from the prior quarter.
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Analysis
Farmhouse (FMHS) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Farmhouse reported Total Liabilities of $2.73 million, up 15.1% from FY2024.
- Annual Total Liabilities has increased for six straight years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.37 million in FY2024 (+19.5%), $1.99 million in FY2023 (+20.4%), $1.65 million in FY2022 (+4.5%) and $1.58 million in FY2021 (+38.4%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has increased for 20 consecutive quarters, with growth averaging 40.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 1.8% (Q1 2023) to 205.2% (Q2 2026).
- Per Business Quant, the preceding three quarters came in at $2.92 million (Q1 2026), $2.73 million (Q4 2025) and $2.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 178.31 Bn | 124.44 Bn | - | 118.04 Bn |
| 2 | Spdr Gold Trust | 137.05 Bn | -420.95 Bn | - | 45.42 Mn |
| 3 | Blackstone | 87.95 Bn | 77.93 Bn | - | 28.83 Bn |
| 4 | Brookfield | 82.82 Bn | -100.50 Bn | - | 521.43 Bn |
| 5 | Kkr | 79.55 Bn | -308.22 Mn | - | 337.08 Bn |
| 6 | Brookfield Asset Management | 73.49 Bn | 68.30 Bn | - | 10.89 Bn |
| 7 | Apollo Global Management | 66.07 Bn | -16.73 Bn | 10.56 Bn | 452.57 Bn |
| 8 | Wheaton Precious Metals | 59.49 Bn | 54.92 Bn | 687.86 Mn | 2.47 Bn |
| 9 | Franco Nevada | 46.47 Bn | 43.84 Bn | 451.00 Mn | 681.50 Mn |
| 10 | Farmhouse | 2.67 Mn | 1.94 Mn | - | 7.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.47 Mn |
| Mar 31, 2026 | 2.92 Mn |
| Dec 31, 2025 | 2.73 Mn |
| Sep 30, 2025 | 2.53 Mn |
| Jun 30, 2025 | 2.45 Mn |
| Mar 31, 2025 | 2.32 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 30, 2024 | 2.28 Mn |
| Jun 30, 2024 | 2.18 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 1.99 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 1.65 Mn |
| Sep 30, 2022 | 1.84 Mn |
| Jun 30, 2022 | 1.77 Mn |
| Mar 31, 2022 | 1.68 Mn |
| Dec 31, 2021 | 1.58 Mn |
| Sep 30, 2021 | 1.40 Mn |
API Access
Farmhouse Total Liabilities 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=total-liabilities&ticker=FMHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FMHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=FMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();