Turning Point Brands (TPB) Shares Outstanding (2014 - 2026)
Turning Point Brands (TPB) recorded Weighted Average Shares Outstanding of 20.03 million in Q3 2026, up 9.8% from 18.25 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Turning Point Brands (TPB) Shares Outstanding (2014 - 2026) Analysis & Trends
For FY2025, Turning Point Brands reported Weighted Average Shares Outstanding of 18.31 million, up 3.3% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 17.73 million in FY2024 (+0.9%), 17.58 million in FY2023 (-1.8%), 17.9 million in FY2022 (-5.4%) and 18.92 million in FY2021 (-2.5%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2014.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 11 consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 11.0% in Q2 2026, against a decline of 6.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 19.89 million (Q2 2026), 19.21 million (Q1 2026) and 18.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 310.09 Bn | 289.08 Bn | 7.85 Bn | 1.56 Bn |
| 2 | British American Tobacco p.l.c | 143.09 Bn | 119.75 Bn | - | 2.19 Bn |
| 3 | Altria | 130.85 Bn | 117.83 Bn | 3.94 Bn | 1.67 Bn |
| 4 | RLX Technology | 2.40 Bn | -1.35 Bn | 52.74 Mn | 1.22 Bn |
| 5 | Curaleaf Holdings | 2.08 Bn | 1.70 Bn | 170.48 Mn | 264.88 Mn |
| 6 | Trulieve Cannabis | 1.86 Bn | 595.66 Mn | 148.02 Mn | 192.94 Mn |
| 7 | Verano Holdings | 1.83 Bn | 1.48 Bn | 100.04 Mn | 73.12 Mn |
| 8 | Green Thumb Industries | 1.49 Bn | 262.73 Mn | 146.79 Mn | 218.62 Mn |
| 9 | Cronos | 1.24 Bn | -1.90 Bn | 32.28 Mn | 368.56 Mn |
| 10 | Turning Point Brands | 1.10 Bn | 187.99 Mn | 85.18 Mn | 20.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.03 Mn |
| Jun 30, 2026 | 19.89 Mn |
| Mar 31, 2026 | 19.21 Mn |
| Dec 31, 2025 | 18.31 Mn |
| Sep 30, 2025 | 18.25 Mn |
| Jun 30, 2025 | 17.92 Mn |
| Mar 31, 2025 | 17.80 Mn |
| Dec 31, 2024 | 17.73 Mn |
| Sep 30, 2024 | 17.72 Mn |
| Jun 30, 2024 | 17.66 Mn |
| Mar 31, 2024 | 17.65 Mn |
| Dec 31, 2023 | 17.58 Mn |
| Sep 30, 2023 | 17.60 Mn |
| Jun 30, 2023 | 17.58 Mn |
| Mar 31, 2023 | 17.53 Mn |
| Dec 31, 2022 | 17.90 Mn |
| Sep 30, 2022 | 17.75 Mn |
| Jun 30, 2022 | 18.06 Mn |
| Mar 31, 2022 | 18.26 Mn |
| Dec 31, 2021 | 18.92 Mn |
API Access
Turning Point Brands Shares Outstanding 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=shares-outstanding&ticker=TPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=TPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();