Turning Point Brands (TPB) Operating Expenses (2015 - 2026)
Turning Point Brands' Operating Expenses came in at $76.99 million for Q2 2026, up 91.1% from $40.3 million a year earlier and up 37.9% from the prior quarter.
Turning Point Brands (TPB) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Turning Point Brands reported Operating Expenses of $225.07 million, up 59.8% year-over-year; for FY2025, it was $168.99 million, up 38.1% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $122.41 million in FY2024 (+17.3%), $104.33 million in FY2023 (+0.5%), $103.82 million in FY2022 (-18.6%) and $127.51 million in FY2021 (+1.6%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2015.
- Year-over-year, Operating Expenses has increased for seven consecutive quarters, with growth averaging 66.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 237.4%), and the weakest in Q4 2022 (a decline of 84.0%).
- Business Quant data shows TPB's Operating Expenses at $55.81 million (Q1 2026), $47.73 million (Q4 2025) and $44.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 311.51 Bn | 291.15 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.24 Bn | 105.61 Bn | - | - |
| 3 | Altria | 124.94 Bn | 111.10 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Trulieve Cannabis | 2.09 Bn | 705.03 Mn | 162.29 Mn | 532.81 Mn |
| 5 | RLX Technology | 2.07 Bn | -1.69 Bn | 52.74 Mn | -33.52 Mn |
| 6 | Curaleaf Holdings | 2.07 Bn | 1.67 Bn | 169.91 Mn | 165.69 Mn |
| 7 | Green Thumb Industries | 1.38 Bn | 228.69 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 383.66 Mn | 93.70 Mn | 76.99 Mn |
| 9 | Cronos | 1.23 Bn | -2.04 Bn | 28.45 Mn | 21.05 Mn |
| 10 | Tilray Brands | 406.02 Mn | -561.48 Mn | 77.51 Mn | 101.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.99 Mn |
| Mar 31, 2026 | 55.81 Mn |
| Dec 31, 2025 | 47.73 Mn |
| Sep 30, 2025 | 44.54 Mn |
| Jun 30, 2025 | 40.30 Mn |
| Mar 31, 2025 | 36.42 Mn |
| Dec 31, 2024 | 34.53 Mn |
| Sep 30, 2024 | 29.59 Mn |
| Jun 30, 2024 | 29.20 Mn |
| Mar 31, 2024 | 29.08 Mn |
| Dec 31, 2023 | 10.23 Mn |
| Sep 30, 2023 | 31.39 Mn |
| Jun 30, 2023 | 31.93 Mn |
| Mar 31, 2023 | 30.78 Mn |
| Dec 31, 2022 | 5.04 Mn |
| Sep 30, 2022 | 32.89 Mn |
| Jun 30, 2022 | 33.32 Mn |
| Mar 31, 2022 | 32.57 Mn |
| Dec 31, 2021 | 31.61 Mn |
| Sep 30, 2021 | 31.89 Mn |
Turning Point Brands 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=TPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();