22nd Century (XXII) Return on Sales [ROS] (2010 - 2026)
22nd Century's Return on Sales [ROS] came in at -114.91% for Q2 2026, down 41.90 percentage points from -73.01% a year earlier and down 40.88 percentage points from the prior quarter.
22nd Century (XXII) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 22nd Century reported Return on Sales [ROS] of -85.04%, down 19.96 percentage points year-over-year; for FY2025, it was -65.76%, down 8.55 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +2.48 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -57.21% in FY2024 (+82.31 pp), -139.52% in FY2023 (-56.47 pp), -83.05% in FY2022 (+8.76 pp) and -91.81% in FY2021 (-23.57 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +5.54 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 135.28 percentage points), and the weakest in Q4 2023 (a drop of 196.02 percentage points).
- Business Quant data shows XXII's Return on Sales [ROS] at -74.03% (Q1 2026), -79.25% (Q4 2025) and -80.08% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 292.24 Bn | 273.81 Bn | 7.66 Bn | 40.48% |
| 2 | British American Tobacco p.l.c | 121.70 Bn | 100.85 Bn | - | - |
| 3 | Altria | 112.46 Bn | 98.66 Bn | 3.82 Bn | 51.32% |
| 4 | Curaleaf Holdings | 2.67 Bn | 2.27 Bn | 169.91 Mn | 1.24% |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 12.86% |
| 6 | Trulieve Cannabis | 2.06 Bn | 674.09 Mn | 162.29 Mn | -136.75% |
| 7 | Green Thumb Industries | 1.30 Bn | 155.26 Mn | 137.87 Mn | 6.51% |
| 8 | Cronos | 1.19 Bn | -2.03 Bn | 28.45 Mn | 10.49% |
| 9 | Turning Point Brands | 1.12 Bn | 246.72 Mn | 93.70 Mn | 11.69% |
| 10 | 22nd Century | 190,409.32 | -27.41 Mn | -293,000.00 | -114.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -114.91% |
| Mar 31, 2026 | -74.03% |
| Dec 31, 2025 | -79.25% |
| Sep 30, 2025 | -80.08% |
| Jun 30, 2025 | -73.01% |
| Mar 31, 2025 | -43.15% |
| Dec 31, 2024 | -101.77% |
| Sep 30, 2024 | -56.79% |
| Jun 30, 2024 | -25.76% |
| Mar 31, 2024 | -68.54% |
| Dec 31, 2023 | -193.45% |
| Sep 30, 2023 | -104.85% |
| Jun 30, 2023 | -149.60% |
| Mar 31, 2023 | -116.56% |
| Dec 31, 2022 | 2.57% |
| Sep 30, 2022 | -132.36% |
| Jun 30, 2022 | -105.08% |
| Mar 31, 2022 | -90.06% |
| Dec 31, 2021 | -132.71% |
| Sep 30, 2021 | -90.42% |
22nd Century 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=XXII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "XXII", "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=XXII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();