Tango Therapeutics (TNGX) Return on Sales [ROS] (2020 - 2026)
Tango Therapeutics (TNGX) posted Return on Sales [ROS] of -253.38% for Q2 2026, up 1034.49 percentage points from -1287.87% a year earlier but down 47.16 percentage points from the prior quarter.
Tango Therapeutics (TNGX) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For FY2025, Tango Therapeutics' Return on Sales [ROS] came in at -178.39%, up 167.69 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +503.42 percentage points (FY2020 to FY2025).
- In prior years, Tango Therapeutics' Return on Sales [ROS] was -346.09% in FY2024 (-33.51 pp), -312.57% in FY2023 (+134.21 pp), -446.79% in FY2022 (-289.69 pp) and -157.09% in FY2021 (+524.73 pp).
- Quarterly Return on Sales [ROS] has run from a low of -1287.87% in Q2 2025 to a high of 26.15% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +134.16 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 1034.49 percentage points; the weakest was Q2 2025, with a drop of 1139.18 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -206.22% (Q1 2026), -178.39% (Q4 2025) and 26.15% (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 | Tango Therapeutics | 3.91 Bn | 2.02 Bn | - | -253.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -253.38% |
| Mar 31, 2026 | -206.22% |
| Dec 31, 2025 | -178.39% |
| Sep 30, 2025 | 26.15% |
| Jun 30, 2025 | -1,287.87% |
| Mar 31, 2025 | -788.76% |
| Dec 31, 2024 | -993.68% |
| Sep 30, 2024 | -283.26% |
| Jun 30, 2024 | -148.69% |
| Mar 31, 2024 | -652.99% |
| Dec 31, 2023 | -644.69% |
| Sep 30, 2023 | -238.78% |
| Jun 30, 2023 | -159.25% |
| Mar 31, 2023 | -525.25% |
| Dec 31, 2022 | -476.79% |
| Sep 30, 2022 | -432.41% |
| Jun 30, 2022 | -436.70% |
| Mar 31, 2022 | -440.76% |
| Dec 31, 2021 | -384.60% |
| Sep 30, 2021 | -288.33% |
Tango 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=TNGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TNGX", "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=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();