Tango Therapeutics (TNGX) Non-Current Assets (2020 - 2026)
Tango Therapeutics' Non-Current Assets was $42.21 million in Q2 2026, down 11.7% from $47.79 million a year earlier and down 2.9% from the prior quarter.
Tango Therapeutics (TNGX) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Tango Therapeutics came in at $44.93 million, down 10.4% from FY2024.
- Non-Current Assets has now declined for three consecutive years, though with a five-year compound annual growth rate of 27.0% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $50.15 million in FY2024 (-10.5%), $56.03 million in FY2023 (-8.4%), $61.2 million in FY2022 (+682.9%) and $7.82 million in FY2021 (-42.6%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q2 2022.
- Compared with a year earlier, Non-Current Assets has declined for 12 straight quarters, with an average decline of 10.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2022 (growth of 682.9%); the worst was Q1 2022 (a decline of 93.5%).
- Per Business Quant data, TNGX's Non-Current Assets in the three quarters before Q2 2026 was $43.47 million (Q1 2026), $44.93 million (Q4 2025) and $46.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Tango Therapeutics | 3.58 Bn | 1.69 Bn | - | 42.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.21 Mn |
| Mar 31, 2026 | 43.47 Mn |
| Dec 31, 2025 | 44.93 Mn |
| Sep 30, 2025 | 46.36 Mn |
| Jun 30, 2025 | 47.79 Mn |
| Mar 31, 2025 | 49.38 Mn |
| Dec 31, 2024 | 50.15 Mn |
| Sep 30, 2024 | 51.60 Mn |
| Jun 30, 2024 | 53.04 Mn |
| Mar 31, 2024 | 54.19 Mn |
| Dec 31, 2023 | 56.03 Mn |
| Sep 30, 2023 | 57.30 Mn |
| Jun 30, 2023 | 58.79 Mn |
| Mar 31, 2023 | 60.77 Mn |
| Dec 31, 2022 | 61.20 Mn |
| Sep 30, 2022 | 62.48 Mn |
| Jun 30, 2022 | 12.31 Mn |
| Mar 31, 2022 | 10.87 Mn |
| Dec 31, 2021 | 7.82 Mn |
| Sep 30, 2021 | 13.80 Mn |
Tango Therapeutics Non-Current Assets 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=non-current-assets&ticker=TNGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();