Farmhouse (FMHS) EBITDA (2019 - 2023)
Farmhouse's EBITDA was -$106,800 in Q4 2023, compared with -$140,037 a year earlier.
Analysis
Farmhouse (FMHS) EBITDA (2019 - 2023) Analysis & Trends
For FY2023, EBITDA at Farmhouse came in at -$509,546.
- In earlier years, EBITDA was -$779,538 in FY2022, -$969,245 in FY2021, -$1.01 million in FY2020 and -$548,606 in FY2019.
- Quarterly EBITDA has moved between -$579,032 (Q4 2020) and -$103,326 (Q3 2023) over five years.
- Per Business Quant data, FMHS's EBITDA in the three quarters before Q4 2023 was -$103,326 (Q3 2023), -$140,625 (Q2 2023) and -$158,795 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 2.85 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | - |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | - |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 2.03 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | -7.76 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 1.40 Bn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 2.23 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 789.87 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 529.70 Mn |
| 10 | Farmhouse | 2.67 Mn | 1.94 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -106,800.00 |
| Sep 30, 2023 | -103,326.00 |
| Jun 30, 2023 | -140,625.00 |
| Mar 31, 2023 | -158,795.00 |
| Dec 31, 2022 | -140,037.00 |
| Sep 30, 2022 | -174,443.00 |
| Jun 30, 2022 | -246,743.00 |
| Mar 31, 2022 | -218,315.00 |
| Dec 31, 2021 | -347,542.00 |
| Sep 30, 2021 | -248,192.00 |
| Jun 30, 2021 | -244,388.00 |
| Mar 31, 2021 | -129,122.00 |
| Dec 31, 2020 | -579,032.00 |
| Sep 30, 2020 | -151,301.00 |
| Jun 30, 2020 | -114,577.00 |
| Mar 31, 2020 | -159,246.00 |
| Dec 31, 2019 | -106,472.00 |
| Sep 30, 2019 | -146,813.00 |
API Access
Farmhouse EBITDA 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=ebitda&ticker=FMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();