Tg Therapeutics (TGTX) Finished Goods (2023 - 2025)
Tg Therapeutics' Finished Goods was $21.09 million in Q3 2025, up 164.9% from $7.96 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Tg Therapeutics (TGTX) Finished Goods (2023 - 2025) Analysis & Trends
At the end of FY2024, Finished Goods at Tg Therapeutics came in at $13.94 million, up 597.2% from FY2023.
- In earlier years, Finished Goods was $2 million in FY2023.
- Quarterly Finished Goods has moved between $52,000 (Q1 2023) and $21.84 million (Q2 2025) over five years.
- Per Business Quant data, TGTX's Finished Goods in the three quarters before Q3 2025 was $21.84 million (Q2 2025), $10.72 million (Q1 2025) and $13.94 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Tg Therapeutics | 9.71 Bn | 8.96 Bn | 217.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 21.09 Mn |
| Jun 30, 2025 | 21.84 Mn |
| Mar 31, 2025 | 10.72 Mn |
| Dec 31, 2024 | 13.94 Mn |
| Sep 30, 2024 | 7.96 Mn |
| Jun 30, 2024 | 1.62 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 612,000.00 |
| Jun 30, 2023 | 659,000.00 |
| Mar 31, 2023 | 52,000.00 |
API Access
Tg Therapeutics Finished Goods 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=finished-goods&ticker=TGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();