Farmhouse (FMHS) Operating Expenses (2019 - 2026)
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Analysis
Farmhouse (FMHS) Operating Expenses (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 182.41 Bn | 124.93 Bn | - | 5.42 Bn |
| 2 | Spdr Gold Trust | 134.84 Bn | -423.17 Bn | - | 149.76 Mn |
| 3 | Blackstone | 95.70 Bn | 85.68 Bn | - | 2.38 Bn |
| 4 | Brookfield | 93.08 Bn | -90.24 Bn | - | 14.94 Bn |
| 5 | Kkr | 86.27 Bn | 6.42 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 84.65 Bn | 79.46 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 70.38 Bn | -15.79 Bn | 4.14 Bn | 6.21 Bn |
| 8 | Wheaton Precious Metals | 61.81 Bn | 57.24 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 49.09 Bn | 46.45 Bn | 451.00 Mn | 5.30 Mn |
| 10 | Farmhouse | 2.67 Mn | 1.94 Mn | - | 165,204.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165,204.00 |
| Mar 31, 2026 | 109,449.00 |
| Dec 31, 2025 | 107,929.00 |
| Sep 30, 2025 | 94,659.00 |
| Jun 30, 2025 | 117,558.00 |
| Mar 31, 2025 | 90,794.00 |
| Dec 31, 2024 | 86,932.00 |
| Sep 30, 2024 | 92,824.00 |
| Jun 30, 2024 | 126,808.00 |
| Mar 31, 2024 | 104,103.00 |
| Dec 31, 2023 | 109,396.00 |
| Sep 30, 2023 | 106,425.00 |
| Jun 30, 2023 | 142,693.00 |
| Mar 31, 2023 | 159,329.00 |
| Dec 31, 2022 | 141,356.00 |
| Sep 30, 2022 | 176,930.00 |
| Jun 30, 2022 | 249,392.00 |
| Mar 31, 2022 | 218,409.00 |
| Dec 31, 2021 | 348,035.00 |
| Sep 30, 2021 | 248,635.00 |
API Access
Farmhouse 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=FMHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();