Blum Holdings (BLMH) EBITDA (2023 - 2025)
Blum Holdings' EBITDA came in at -$1.23 million for Q3 2025, compared with -$2 million a year earlier.
Analysis
Blum Holdings (BLMH) EBITDA (2023 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Blum Holdings reported EBITDA of $14.79 million; for FY2024, it came in at $6.11 million.
- Going back by year, EBITDA was -$18.47 million in FY2023 and -$175.91 million in FY2022.
- The five-year range for quarterly EBITDA is -$6.19 million (Q2 2024) to $17.8 million (Q4 2024).
- Business Quant data shows BLMH's EBITDA at -$623,000 (Q2 2025), -$1.16 million (Q1 2025) and $17.8 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | 5.04 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 | 3.19 Bn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 52.83 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | 20.64 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | -344.80 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 53.14 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 10.78 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | - |
| 10 | Blum Holdings | 2.98 Mn | 751,764.04 | 2.32 Mn | -1.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -1.23 Mn |
| Jun 30, 2025 | -623,000.00 |
| Mar 31, 2025 | -1.16 Mn |
| Dec 31, 2024 | 17.80 Mn |
| Sep 30, 2024 | -2.00 Mn |
| Jun 30, 2024 | -6.19 Mn |
| Mar 31, 2024 | -3.50 Mn |
| Dec 31, 2023 | -5.71 Mn |
| Sep 30, 2023 | -5.85 Mn |
| Jun 30, 2023 | -5.19 Mn |
| Mar 31, 2023 | -80,000.00 |
API Access
Blum Holdings 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=BLMH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BLMH", "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=BLMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();