Tg Therapeutics (TGTX) Return on Sales [ROS] (2017 - 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] (2017 - 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 | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Tg Therapeutics | 8.31 Bn | 7.70 Bn | 199.14 Mn | 9.02% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -4,193.50% |
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();