Tango Therapeutics (TNGX) Cash & Equivalents (2020 - 2026)
Tango Therapeutics' Cash & Equivalents was $345.56 million in Q2 2026, up 779.9% from $39.27 million a year earlier and up 118.9% from the prior quarter.
Tango Therapeutics (TNGX) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Tango Therapeutics came in at $112.28 million, up 55.7% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 29.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $72.1 million in FY2024 (+8.6%), $66.39 million in FY2023 (+10.7%), $59.97 million in FY2022 (-58.6%) and $145.02 million in FY2021 (+373.0%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q2 2020.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 123.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2026 (growth of 779.9%); the worst was Q4 2022 (a decline of 58.6%).
- Per Business Quant data, TNGX's Cash & Equivalents in the three quarters before Q2 2026 was $157.83 million (Q1 2026), $112.28 million (Q4 2025) and $58.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Tango Therapeutics | 4.12 Bn | 1.40 Bn | - | 86.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.84 Mn |
| Jun 30, 2026 | 345.56 Mn |
| Mar 31, 2026 | 157.83 Mn |
| Dec 31, 2025 | 112.28 Mn |
| Sep 30, 2025 | 60.91 Mn |
| Jun 30, 2025 | 58.34 Mn |
| Mar 31, 2025 | 58.43 Mn |
| Dec 31, 2024 | 72.10 Mn |
| Sep 30, 2024 | 53.15 Mn |
| Jun 30, 2024 | 51.57 Mn |
| Mar 31, 2024 | 61.16 Mn |
| Dec 31, 2023 | 66.39 Mn |
| Sep 30, 2023 | 58.53 Mn |
| Jun 30, 2023 | 66.05 Mn |
| Mar 31, 2023 | 57.25 Mn |
| Dec 31, 2022 | 59.97 Mn |
| Sep 30, 2022 | 100.31 Mn |
| Jun 30, 2022 | 104.58 Mn |
| Mar 31, 2022 | 99.91 Mn |
| Dec 31, 2021 | 145.02 Mn |
Tango Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=TNGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();