Farmhouse (FMHS) Shares Outstanding (2019 - 2026)
Farmhouse (FMHS) reported Weighted Average Shares Outstanding of 19.11 million for Q2 2026, up 6.6% from 17.93 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Farmhouse (FMHS) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Farmhouse posted Weighted Average Shares Outstanding of 18.2 million, up 3.0% from FY2024.
- Weighted Average Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 17.67 million in FY2024 (+3.1%), 17.13 million in FY2023 (+4.6%), 16.38 million in FY2022 (+7.6%) and 15.22 million in FY2021 (+3.6%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2019.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 24 quarters, with growth averaging 4.0% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 1.5% (Q1 2024) and 9.6% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 19 million (Q1 2026), 18.2 million (Q4 2025) and 18.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 182.41 Bn | 124.93 Bn | - | 154.80 Mn |
| 2 | Spdr Gold Trust | 134.84 Bn | -423.17 Bn | - | 361.94 Mn |
| 3 | Blackstone | 95.70 Bn | 85.68 Bn | - | 799.88 Mn |
| 4 | Brookfield | 93.08 Bn | -90.24 Bn | - | 2.25 Bn |
| 5 | Kkr | 86.27 Bn | 6.42 Bn | - | 895.59 Mn |
| 6 | Brookfield Asset Management | 84.65 Bn | 79.46 Bn | - | 1.60 Bn |
| 7 | Apollo Global Management | 70.38 Bn | -15.79 Bn | 4.14 Bn | 602.63 Mn |
| 8 | Wheaton Precious Metals | 61.81 Bn | 57.24 Bn | 687.86 Mn | 453.89 Mn |
| 9 | Franco Nevada | 49.09 Bn | 46.45 Bn | 451.00 Mn | 192.70 Mn |
| 10 | Farmhouse | 2.67 Mn | 1.94 Mn | - | 19.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.11 Mn |
| Mar 31, 2026 | 19.00 Mn |
| Dec 31, 2025 | 18.20 Mn |
| Sep 30, 2025 | 18.26 Mn |
| Jun 30, 2025 | 17.93 Mn |
| Mar 31, 2025 | 17.93 Mn |
| Dec 31, 2024 | 17.67 Mn |
| Sep 30, 2024 | 17.90 Mn |
| Jun 30, 2024 | 17.41 Mn |
| Mar 31, 2024 | 17.33 Mn |
| Dec 31, 2023 | 17.13 Mn |
| Sep 30, 2023 | 17.08 Mn |
| Jun 30, 2023 | 17.08 Mn |
| Mar 31, 2023 | 17.08 Mn |
| Dec 31, 2022 | 16.38 Mn |
| Sep 30, 2022 | 16.80 Mn |
| Jun 30, 2022 | 15.89 Mn |
| Mar 31, 2022 | 15.75 Mn |
| Dec 31, 2021 | 15.22 Mn |
| Sep 30, 2021 | 15.34 Mn |
API Access
Farmhouse Shares Outstanding 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=shares-outstanding&ticker=FMHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=FMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();