Tango Therapeutics (TNGX) Depreciation & Amortization (CF) (2020 - 2026)
Tango Therapeutics (TNGX) recorded Depreciation & Amortization (CF) of $400,000 in Q2 2026, down 36.0% from $625,000 a year earlier and down 20.0% from the prior quarter.
Tango Therapeutics (TNGX) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
On a TTM basis, Tango Therapeutics' Depreciation & Amortization (CF) came in at $1.95 million as of Jun 30, 2026, down 20.2% year-over-year; for FY2025, it came in at $2.3 million, down 8.0% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $2.5 million in FY2024 (+3.5%), $2.42 million in FY2023 (+50.2%), $1.61 million in FY2022 (+78.7%) and $900,000 in FY2021 (+25.3%).
- The Q2 2026 figure is the lowest quarterly Depreciation & Amortization (CF) since Q2 2022.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined for seven consecutive quarters, with an average decline of 11.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 120.1% in Q4 2022, against a decline of 36.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $500,000 (Q1 2026), $498,000 (Q4 2025) and $555,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Tango Therapeutics | 4.12 Bn | 2.23 Bn | - | 400,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400,000.00 |
| Mar 31, 2026 | 500,000.00 |
| Dec 31, 2025 | 498,000.00 |
| Sep 30, 2025 | 555,000.00 |
| Jun 30, 2025 | 625,000.00 |
| Mar 31, 2025 | 622,000.00 |
| Dec 31, 2024 | 600,000.00 |
| Sep 30, 2024 | 600,000.00 |
| Jun 30, 2024 | 675,000.00 |
| Mar 31, 2024 | 625,000.00 |
| Dec 31, 2023 | 615,000.00 |
| Sep 30, 2023 | 600,000.00 |
| Jun 30, 2023 | 600,000.00 |
| Mar 31, 2023 | 600,000.00 |
| Dec 31, 2022 | 570,000.00 |
| Sep 30, 2022 | 417,000.00 |
| Jun 30, 2022 | 312,000.00 |
| Mar 31, 2022 | 309,000.00 |
| Dec 31, 2021 | 259,000.00 |
| Sep 30, 2021 | 200,000.00 |
Tango Therapeutics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=TNGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=TNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();