Turning Point Brands (TPB) Return on Sales [ROS] (2015 - 2026)
Turning Point Brands (TPB) posted Return on Sales [ROS] of 6.53% for Q3 2026, down 15.22 percentage points from 21.76% a year earlier and down 5.16 percentage points from the prior quarter.
Turning Point Brands (TPB) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Turning Point Brands was 10.94%, down 10.47 percentage points year-over-year; for FY2025, it was 20.59%, down 1.83 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4.68 percentage points (FY2020 to FY2025).
- In prior years, Turning Point Brands' Return on Sales [ROS] was 22.41% in FY2024 (-3.11 pp), 25.52% in FY2023 (+2.48 pp), 23.04% in FY2022 (+2.76 pp) and 20.28% in FY2021 (+4.37 pp).
- The Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2019.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last nine quarters, with an average year-over-year change of -6.94 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 13.35 percentage points; the weakest was Q3 2026, with a drop of 15.22 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 11.69% (Q2 2026), 10.05% (Q1 2026) and 16.47% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 310.09 Bn | 289.08 Bn | 7.85 Bn | 42.54% |
| 2 | British American Tobacco p.l.c | 143.09 Bn | 119.75 Bn | - | - |
| 3 | Altria | 130.85 Bn | 117.83 Bn | 3.94 Bn | 54.03% |
| 4 | RLX Technology | 2.40 Bn | -1.35 Bn | 52.74 Mn | 12.90% |
| 5 | Curaleaf Holdings | 2.08 Bn | 1.70 Bn | 170.48 Mn | 0.83% |
| 6 | Trulieve Cannabis | 1.86 Bn | 595.66 Mn | 148.02 Mn | 18.46% |
| 7 | Verano Holdings | 1.83 Bn | 1.48 Bn | 100.04 Mn | 5.61% |
| 8 | Green Thumb Industries | 1.49 Bn | 262.73 Mn | 146.79 Mn | 7.73% |
| 9 | Cronos | 1.24 Bn | -1.90 Bn | 32.28 Mn | 10.76% |
| 10 | Turning Point Brands | 1.10 Bn | 187.99 Mn | 85.18 Mn | 6.53% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.53% |
| Jun 30, 2026 | 11.69% |
| Mar 31, 2026 | 10.05% |
| Dec 31, 2025 | 16.47% |
| Sep 30, 2025 | 21.76% |
| Jun 30, 2025 | 22.57% |
| Mar 31, 2025 | 21.79% |
| Dec 31, 2024 | 19.09% |
| Sep 30, 2024 | 22.94% |
| Jun 30, 2024 | 24.53% |
| Mar 31, 2024 | 23.20% |
| Dec 31, 2023 | 29.61% |
| Sep 30, 2023 | 24.74% |
| Jun 30, 2023 | 24.26% |
| Mar 31, 2023 | 23.27% |
| Dec 31, 2022 | 16.26% |
| Sep 30, 2022 | 18.39% |
| Jun 30, 2022 | 17.63% |
| Mar 31, 2022 | 19.06% |
| Dec 31, 2021 | 17.78% |
Turning Point Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();