Jushi Holdings (JUSH) Total Liabilities (2021 - 2026)
Jushi Holdings' Total Liabilities came in at $571.61 million for Q2 2026, up 12.0% from $510.21 million a year earlier and up 0.3% from the prior quarter.
Jushi Holdings (JUSH) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Jushi Holdings' Total Liabilities was $537.69 million, up 9.6% from FY2024.
- Total Liabilities carries a four-year compound annual growth rate of 3.4% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $490.56 million in FY2024 (+4.1%), $471.01 million in FY2023 (-2.6%), $483.45 million in FY2022 (+2.6%) and $471.07 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2021.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 14.1%), and the weakest in Q2 2023 (a decline of 2.6%).
- Business Quant data shows JUSH's Total Liabilities at $569.93 million (Q1 2026), $537.69 million (Q4 2025) and $533.17 million (Q3 2025) in the three quarters before Q2 2026.
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 | Jushi Holdings | 129.80 Mn | 9.55 Mn | 31.53 Mn | 571.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 571.61 Mn |
| Mar 31, 2026 | 569.93 Mn |
| Dec 31, 2025 | 537.69 Mn |
| Sep 30, 2025 | 533.17 Mn |
| Jun 30, 2025 | 510.21 Mn |
| Mar 31, 2025 | 499.50 Mn |
| Dec 31, 2024 | 490.56 Mn |
| Sep 30, 2024 | 481.01 Mn |
| Jun 30, 2024 | 479.02 Mn |
| Mar 31, 2024 | 481.43 Mn |
| Dec 31, 2023 | 471.01 Mn |
| Sep 30, 2023 | 480.84 Mn |
| Jun 30, 2023 | 474.01 Mn |
| Mar 31, 2023 | 484.27 Mn |
| Dec 31, 2022 | 483.45 Mn |
| Sep 30, 2022 | 487.95 Mn |
| Jun 30, 2022 | 486.67 Mn |
| Mar 31, 2022 | 466.40 Mn |
| Dec 31, 2021 | 471.07 Mn |
Jushi Holdings 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=JUSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JUSH", "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=JUSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();