Farmhouse (FMHS) Operating Expenses (2019 - 2026)
Farmhouse (FMHS) reported Operating Expenses of $165,204 for Q2 2026, up 40.5% from $117,558 a year earlier and up 50.9% from the prior quarter.
Powered by 
Analysis
Farmhouse (FMHS) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Farmhouse's Operating Expenses came in at $477,241, up 23.0% year-over-year; for FY2025, it came in at $410,940, up 0.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -16.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $410,668 in FY2024 (-20.7%), $517,843 in FY2023 (-34.1%), $786,087 in FY2022 (-19.3%) and $974,666 in FY2021 (-4.9%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q3 2022.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 64.5%); the low point was Q4 2022 (a decline of 59.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $109,449 (Q1 2026), $107,929 (Q4 2025) and $94,659 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | 149.76 Mn |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 5.41 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 7.80 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();