IM Cannabis (IMCC) Total Liabilities (2019 - 2026)
IM Cannabis (IMCC) recorded Total Liabilities of $21.92 million in Q2 2026, down 17.9% from $26.71 million a year earlier but up 4.3% from the prior quarter.
IM Cannabis (IMCC) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, IM Cannabis reported Total Liabilities of $25.3 million, down 3.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $26.33 million in FY2024 (+1.2%), $26.02 million in FY2023 (-8.3%), $28.37 million in FY2022 (-56.9%) and $65.79 million in FY2021 (+245.5%).
- Quarterly Total Liabilities has ranged from $21.02 million in Q1 2026 to $65.41 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with an average decline of 0.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 234.3% in Q4 2021, against a decline of 63.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.02 million (Q1 2026), $25.35 million (Q4 2025) and $29.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | 76.85 Bn |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | 80.22 Bn |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 36.04 Bn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 1.95 Bn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | 179.91 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 1.31 Bn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 954.64 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 62.42 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 401.17 Mn |
| 10 | IM Cannabis | 1.88 Mn | -2.90 Mn | 1.09 Mn | 21.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.92 Mn |
| Mar 31, 2026 | 21.02 Mn |
| Dec 31, 2025 | 25.35 Mn |
| Sep 30, 2025 | 29.09 Mn |
| Jun 30, 2025 | 26.71 Mn |
| Mar 31, 2025 | 29.10 Mn |
| Dec 31, 2024 | 25.80 Mn |
| Sep 30, 2024 | 29.63 Mn |
| Jun 30, 2024 | 25.40 Mn |
| Mar 31, 2024 | 24.32 Mn |
| Dec 31, 2023 | 25.79 Mn |
| Sep 30, 2023 | 24.30 Mn |
| Jun 30, 2023 | 25.47 Mn |
| Mar 31, 2023 | 23.85 Mn |
| Dec 31, 2022 | 27.17 Mn |
| Sep 30, 2022 | 56.04 Mn |
| Jun 30, 2022 | 59.42 Mn |
| Mar 31, 2022 | 65.30 Mn |
| Dec 31, 2021 | 65.41 Mn |
| Sep 30, 2021 | 51.17 Mn |
IM Cannabis 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=IMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IMCC", "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=IMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();