Tg Therapeutics (TGTX) EV to EBITDA (2023 - 2026)
Tg Therapeutics' (TGTX) EV to EBITDA came in at 57.15 for Q2 2026, down 9.2% from 62.97 a year earlier but up 89.4% from the prior quarter.
Powered by 
Analysis
Tg Therapeutics (TGTX) EV to EBITDA (2023 - 2026) Analysis & Trends
For FY2025, Tg Therapeutics' EV to EBITDA stood at 35.91, down 65.6% from FY2024.
- In prior years, Tg Therapeutics' EV to EBITDA was 104.29 in FY2024 (-8.2%) and 113.65 in FY2023.
- Quarterly EV to EBITDA has run from a low of 24.86 in Q2 2024 to a high of 112.79 in Q4 2023 over five years.
- On a year-over-year basis, EV to EBITDA has declined in each of the last three quarters, with growth averaging 21.2% over the last six quarters.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 30.17 (Q1 2026), 35.91 (Q4 2025) and 52.79 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Tg Therapeutics | 8.54 Bn | 7.93 Bn | 199.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.15 |
| Mar 31, 2026 | 30.17 |
| Dec 31, 2025 | 35.91 |
| Sep 30, 2025 | 52.79 |
| Jun 30, 2025 | 62.97 |
| Mar 31, 2025 | 99.56 |
| Dec 31, 2024 | 104.29 |
| Jun 30, 2024 | 24.86 |
| Mar 31, 2024 | 44.03 |
| Dec 31, 2023 | 112.79 |
API Access
Tg Therapeutics EV to EBITDA 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=ev-to-ebitda&ticker=TGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "TGTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();