Tango Therapeutics (TNGX) Return on Capital Employed [ROCE] (2021 - 2026)
Tango Therapeutics' Return on Capital Employed [ROCE] came in at -18.56% for Q2 2026, up 54.23 percentage points from -72.79% a year earlier and up 10.61 percentage points from the prior quarter.
Tango Therapeutics (TNGX) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Tango Therapeutics' Return on Capital Employed [ROCE] was -33.13%, up 12.18 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of -14.54 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -45.31% in FY2024 (-14.74 pp), -30.56% in FY2023 (-3.65 pp), -26.91% in FY2022 (-8.32 pp) and -18.59% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2022.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -0.84 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 54.23 percentage points), and the weakest in Q2 2025 (a drop of 34.95 percentage points).
- Business Quant data shows TNGX's Return on Capital Employed [ROCE] at -29.17% (Q1 2026), -39.36% (Q4 2025) and -53.67% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Tango Therapeutics | 3.91 Bn | 2.02 Bn | - | -18.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18.56% |
| Mar 31, 2026 | -29.17% |
| Dec 31, 2025 | -39.36% |
| Sep 30, 2025 | -53.67% |
| Jun 30, 2025 | -72.79% |
| Mar 31, 2025 | -56.22% |
| Dec 31, 2024 | -49.14% |
| Sep 30, 2024 | -42.42% |
| Jun 30, 2024 | -37.85% |
| Mar 31, 2024 | -34.88% |
| Dec 31, 2023 | -30.90% |
| Sep 30, 2023 | -30.45% |
| Jun 30, 2023 | -33.74% |
| Mar 31, 2023 | -31.65% |
| Dec 31, 2022 | -28.14% |
| Sep 30, 2022 | -25.31% |
| Jun 30, 2022 | -22.19% |
| Mar 31, 2022 | -16.01% |
| Dec 31, 2021 | -12.26% |
| Sep 30, 2021 | -14.71% |
Tango Therapeutics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TNGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();