Jushi Holdings (JUSH) Operating Expenses (2021 - 2026)
Jushi Holdings (JUSH) reported Operating Expenses of $30.82 million for Q2 2026, up 21.7% from $25.32 million a year earlier and up 8.9% from the prior quarter.
Jushi Holdings (JUSH) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jushi Holdings' Operating Expenses came in at $115.27 million, up 6.7% year-over-year; for FY2025, it came in at $109.13 million, up 1.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $107.44 million in FY2024 (-9.7%), $119.05 million in FY2023 (-62.3%), $315.81 million in FY2022 (+165.0%) and $119.16 million in FY2021 (+117.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 2.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 252.3%); the low point was Q4 2023 (a decline of 79.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.29 million (Q1 2026), $27.83 million (Q4 2025) and $28.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Jushi Holdings | 129.80 Mn | 9.55 Mn | 31.53 Mn | 30.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.82 Mn |
| Mar 31, 2026 | 28.29 Mn |
| Dec 31, 2025 | 27.83 Mn |
| Sep 30, 2025 | 28.33 Mn |
| Jun 30, 2025 | 25.32 Mn |
| Mar 31, 2025 | 27.65 Mn |
| Dec 31, 2024 | 27.25 Mn |
| Sep 30, 2024 | 27.82 Mn |
| Jun 30, 2024 | 24.16 Mn |
| Mar 31, 2024 | 28.21 Mn |
| Dec 31, 2023 | 33.75 Mn |
| Sep 30, 2023 | 25.69 Mn |
| Jun 30, 2023 | 27.15 Mn |
| Mar 31, 2023 | 32.45 Mn |
| Dec 31, 2022 | 161.16 Mn |
| Sep 30, 2022 | 78.19 Mn |
| Jun 30, 2022 | 38.75 Mn |
| Mar 31, 2022 | 37.31 Mn |
| Dec 31, 2021 | 45.74 Mn |
| Sep 30, 2021 | 25.15 Mn |
Jushi Holdings Operating Expenses 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=operating-expenses&ticker=JUSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JUSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();