Tango Therapeutics (TNGX) Selling, General & Administrative (2020 - 2026)
Tango Therapeutics (TNGX) recorded Selling, General & Administrative of $22.59 million in Q2 2026, up 99.2% from $11.34 million a year earlier and up 48.3% from the prior quarter.
Powered by 
Analysis
Tango Therapeutics (TNGX) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Tango Therapeutics' Selling, General & Administrative came in at $56.51 million as of Jun 30, 2026, up 25.2% year-over-year; for FY2025, it was $41.51 million, down 5.1% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 33.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $43.75 million in FY2024 (+23.2%), $35.5 million in FY2023 (+18.2%), $30.03 million in FY2022 (+70.6%) and $17.6 million in FY2021 (+78.4%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2020.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 19.5%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 101.1% in Q4 2021, against a decline of 20.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.24 million (Q1 2026), $9.76 million (Q4 2025) and $8.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Tango Therapeutics | 4.12 Bn | 1.40 Bn | - | 29.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.19 Mn |
| Jun 30, 2026 | 22.59 Mn |
| Mar 31, 2026 | 15.24 Mn |
| Dec 31, 2025 | 9.76 Mn |
| Sep 30, 2025 | 8.92 Mn |
| Jun 30, 2025 | 11.34 Mn |
| Mar 31, 2025 | 11.48 Mn |
| Dec 31, 2024 | 11.09 Mn |
| Sep 30, 2024 | 11.22 Mn |
| Jun 30, 2024 | 10.77 Mn |
| Mar 31, 2024 | 10.66 Mn |
| Dec 31, 2023 | 9.11 Mn |
| Sep 30, 2023 | 9.21 Mn |
| Jun 30, 2023 | 9.17 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 7.89 Mn |
| Sep 30, 2022 | 8.10 Mn |
| Jun 30, 2022 | 7.23 Mn |
| Mar 31, 2022 | 6.81 Mn |
| Dec 31, 2021 | 6.07 Mn |
API Access
Tango Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=TNGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();