Foremost Clean Energy (FMST) Total Liabilities (2022 - 2026)
Foremost Clean Energy's Total Liabilities was $1.76 million in the quarter ended Jun 30, 2026, down 15.0% from $2.07 million a year earlier and down 37.1% from the prior quarter.
Foremost Clean Energy (FMST) Total Liabilities (2022 - 2026) Analysis & Trends
As of Mar 31, 2026, Total Liabilities at Foremost Clean Energy came in at $2.78 million, up 18.8% from the prior year.
- Total Liabilities shows a four-year compound annual growth rate of 31.2% (years ended Mar 2022 to Mar 2026).
- In earlier years, Total Liabilities was $2.34 million in the year ended Mar 31, 2025 (-7.0%), $2.51 million in the year ended Mar 31, 2024 (+14.0%), $2.2 million in the year ended Mar 31, 2023 (+134.9%) and $938,513 in the year ended Mar 31, 2022.
- Quarterly Total Liabilities has moved between $928,685 (the quarter ended Mar 31, 2022) and $3.11 million (the quarter ended Sep 30, 2024) over five years.
- Compared with a year earlier, Total Liabilities was higher in three of the last eight quarters, with growth averaging 1.8%.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Mar 31, 2023 (growth of 132.0%); the worst was the quarter ended Dec 31, 2025 (a decline of 57.7%).
- Per Business Quant data, FMST's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $2.8 million (quarter ended Mar 31, 2026), $1.06 million (quarter ended Dec 31, 2025) and $1.95 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.90 Bn | 33.68 Bn | 190.14 Mn | 3.16 Bn |
| 2 | NexGen Energy | 5.95 Bn | 3.47 Bn | - | 494.51 Mn |
| 3 | Warrior Met Coal | 4.85 Bn | 3.54 Bn | 169.64 Mn | 610.24 Mn |
| 4 | Uranium Energy | 4.53 Bn | 3.37 Bn | - | 116.58 Mn |
| 5 | Core Natural Resources | 4.41 Bn | 2.64 Bn | 252.03 Mn | 2.40 Bn |
| 6 | Alliance Resource Partners | 3.19 Bn | 2.89 Bn | 202.70 Mn | 1.16 Bn |
| 7 | Peabody Energy | 3.07 Bn | 918.90 Mn | - | 2.15 Bn |
| 8 | Energy Fuels | 2.76 Bn | -181.21 Mn | 14.42 Mn | 736.40 Mn |
| 9 | Centrus Energy | 2.70 Bn | -4.63 Bn | 49.90 Mn | 1.69 Bn |
| 10 | Foremost Clean Energy | 8.78 Mn | -10.04 Mn | - | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.76 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 1.95 Mn |
| Jun 30, 2025 | 2.07 Mn |
| Mar 31, 2025 | 2.26 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 3.11 Mn |
| Jun 30, 2024 | 2.49 Mn |
| Mar 31, 2024 | 2.52 Mn |
| Dec 31, 2023 | 1.53 Mn |
| Sep 30, 2023 | 1.89 Mn |
| Jun 30, 2023 | 2.33 Mn |
| Mar 31, 2023 | 2.15 Mn |
| Dec 31, 2022 | 2.09 Mn |
| Sep 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 928,685.18 |
Foremost Clean Energy Total Liabilities 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=total-liabilities&ticker=FMST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FMST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=FMST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();