Tango Therapeutics (TNGX) Receivables (2020 - 2022)
Tango Therapeutics' Receivables came in at $2 million for Q4 2022, unchanged from $2 million a year earlier and unchanged from the prior quarter.
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Analysis
Tango Therapeutics (TNGX) Receivables (2020 - 2022) Analysis & Trends
Going back to Q4 2020, Tango Therapeutics' Receivables data covers 7 quarters.
- Going back by year, Receivables was $2 million in FY2021 (unchanged) and $2 million in FY2020.
- The five-year range for quarterly Receivables is $2 million (Q4 2020) to $8 million (Q3 2021).
- Business Quant data shows TNGX's Receivables at $2 million (Q3 2022), $2 million (Q2 2022) and $2 million (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Tango Therapeutics | 4.09 Bn | 2.20 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 8.00 Mn |
| Dec 31, 2020 | 2.00 Mn |
API Access
Tango Therapeutics Receivables 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=receivables&ticker=TNGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();