Tg Therapeutics (TGTX) Return on Sales [ROS] (2013 - 2026)
Tg Therapeutics (TGTX) posted Return on Sales [ROS] of 9.02% for Q2 2026, down 15.67 percentage points from 24.69% a year earlier and down 7.96 percentage points from the prior quarter.
Tg Therapeutics (TGTX) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Tg Therapeutics was 17.05%, down 1.86 percentage points year-over-year; for FY2025, it came in at 20.01%, up 7.27 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +180016.06 percentage points (FY2020 to FY2025).
- In prior years, Tg Therapeutics' Return on Sales [ROS] was 12.74% in FY2024 (+3.91 pp), 8.83% in FY2023 (+7847.82 pp), -7838.99% in FY2022 (-2684.71 pp) and -5154.28% in FY2021 (+174841.77 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +4.02 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 224369.07 percentage points; the weakest was Q4 2022, with a drop of 92919.14 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 16.98% (Q1 2026), 26.22% (Q4 2025) and 18.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Tg Therapeutics | 9.71 Bn | 8.96 Bn | 217.86 Mn | 33.05% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.05% |
| Jun 30, 2026 | 9.02% |
| Mar 31, 2026 | 16.98% |
| Dec 31, 2025 | 26.22% |
| Sep 30, 2025 | 18.16% |
| Jun 30, 2025 | 24.69% |
| Mar 31, 2025 | 7.13% |
| Dec 31, 2024 | 27.68% |
| Sep 30, 2024 | 14.82% |
| Jun 30, 2024 | 12.00% |
| Mar 31, 2024 | -14.60% |
| Dec 31, 2023 | -28.39% |
| Sep 30, 2023 | 69.22% |
| Jun 30, 2023 | -277.93% |
| Mar 31, 2023 | -474.07% |
| Dec 31, 2022 | -96,923.75% |
| Sep 30, 2022 | -37,194.68% |
| Jun 30, 2022 | -6,555.72% |
| Mar 31, 2022 | -3,317.06% |
| Dec 31, 2021 | -4,004.61% |
Tg Therapeutics 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=TGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TGTX", "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=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();