Turning Point Brands (TPB) Enterprise Value (2016 - 2026)
Turning Point Brands' Enterprise Value came in at $1.45 billion for Q2 2026, up 15.4% from $1.26 billion a year earlier but down 3.5% from the prior quarter.
Turning Point Brands (TPB) Enterprise Value (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Turning Point Brands reported Enterprise Value of $831.95 million, down 22.4% year-over-year; for FY2025, it was $1.87 billion, up 83.5% from FY2024.
- Enterprise Value has increased in each of the last three years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $1.02 billion in FY2024 (+198.0%), $341.6 million in FY2023 (+27.2%), $268.61 million in FY2022 (-51.5%) and $553.82 million in FY2021 (-32.0%).
- The five-year range for quarterly Enterprise Value is $265.95 million (Q1 2023) to $1.87 billion (Q4 2025).
- Year-over-year, Enterprise Value has increased for 12 consecutive quarters, with growth averaging 120.8% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2024 (growth of 198.0%), and the weakest in Q3 2022 (a decline of 65.2%).
- Business Quant data shows TPB's Enterprise Value at $1.51 billion (Q1 2026), $1.87 billion (Q4 2025) and $1.7 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 302.31 Bn | 283.88 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 126.84 Bn | 105.99 Bn | - |
| 3 | Altria | 114.73 Bn | 100.93 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.84 Bn | 2.44 Bn | 169.91 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn |
| 6 | Trulieve Cannabis | 2.39 Bn | 1.00 Bn | 162.29 Mn |
| 7 | Green Thumb Industries | 1.49 Bn | 344.56 Mn | 137.87 Mn |
| 8 | Cronos | 1.25 Bn | -1.97 Bn | 28.45 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 336.94 Mn | 93.70 Mn |
| 10 | Verano Holdings | 877.15 Mn | 550.77 Mn | 99.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 1.87 Bn |
| Sep 30, 2025 | 1.70 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 966.23 Mn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 729.19 Mn |
| Jun 30, 2024 | 425.44 Mn |
| Mar 31, 2024 | 384.85 Mn |
| Dec 31, 2023 | 341.60 Mn |
| Sep 30, 2023 | 311.54 Mn |
| Jun 30, 2023 | 323.14 Mn |
| Mar 31, 2023 | 265.95 Mn |
| Dec 31, 2022 | 268.61 Mn |
| Sep 30, 2022 | 269.29 Mn |
| Jun 30, 2022 | 379.82 Mn |
| Mar 31, 2022 | 494.35 Mn |
| Dec 31, 2021 | 553.82 Mn |
| Sep 30, 2021 | 773.18 Mn |
Turning Point Brands Enterprise Value 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=enterprise-value&ticker=TPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "TPB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=TPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();