Farmhouse (FMHS) Price to Sales (2020 - 2026)
Farmhouse's Price to Sales came in at 9191.93 for Q2 2026, up 87.3% from the prior quarter.
Analysis
Farmhouse (FMHS) Price to Sales (2020 - 2026) Analysis & Trends
For FY2025, Farmhouse's Price to Sales was 3037.87.
- Going back by year, Price to Sales was 129.46 in FY2024 (-45.8%), 238.95 in FY2023 (+2.6%), 232.98 in FY2022 (-91.7%) and 2820.22 in FY2021 (+126.3%).
- The Q2 2026 figure represents the highest quarterly Price to Sales since Q1 2022.
- The fastest year-over-year change in Price to Sales over five years came in Q2 2022 (growth of 838.9%), and the weakest in Q1 2023 (a decline of 98.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 165.06 Bn | 111.42 Bn | - |
| 2 | Spdr Gold Trust | 134.74 Bn | -423.26 Bn | - |
| 3 | Blackstone | 84.49 Bn | 79.41 Bn | - |
| 4 | Brookfield | 82.12 Bn | -83.26 Bn | 4.47 Bn |
| 5 | Kkr | 81.93 Bn | 48.41 Bn | - |
| 6 | Brookfield Asset Management | 71.19 Bn | 67.44 Bn | - |
| 7 | Apollo Global Management | 65.87 Bn | 3.55 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 60.57 Bn | 55.99 Bn | 687.86 Mn |
| 9 | Franco Nevada | 45.46 Bn | 42.82 Bn | 451.00 Mn |
| 10 | Farmhouse | 2.67 Mn | 1.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9,191.93 |
| Mar 31, 2026 | 4,906.82 |
| Dec 31, 2025 | 3,037.87 |
| Dec 31, 2024 | 129.46 |
| Sep 30, 2024 | 392.66 |
| Jun 30, 2024 | 362.65 |
| Mar 31, 2024 | 211.06 |
| Dec 31, 2023 | 238.96 |
| Sep 30, 2023 | 115.17 |
| Jun 30, 2023 | 119.92 |
| Mar 31, 2023 | 120.57 |
| Dec 31, 2022 | 232.98 |
| Sep 30, 2022 | 2,046.58 |
| Jun 30, 2022 | 5,539.48 |
| Mar 31, 2022 | 9,221.61 |
| Dec 31, 2021 | 2,820.22 |
| Sep 30, 2021 | 398.04 |
| Jun 30, 2021 | 590.00 |
| Mar 31, 2021 | 271.40 |
| Dec 31, 2020 | 1,246.07 |
API Access
Farmhouse Price to Sales 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=price-to-sales&ticker=FMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=FMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();