Tg Therapeutics (TGTX) Non-Current Assets (2010 - 2026)
Tg Therapeutics' Non-Current Assets came in at $493.94 million for Q2 2026, compared with $38.65 million a year earlier and up 11.8% from the prior quarter.
Analysis
Tg Therapeutics (TGTX) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Tg Therapeutics' Non-Current Assets was $432.49 million.
- Non-Current Assets carries a five-year compound annual growth rate of 98.9% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $11.33 million in FY2024 (-2.7%), $11.64 million in FY2023 (-54.0%), $25.3 million in FY2022 (-48.0%) and $48.66 million in FY2021 (+250.1%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Year-over-year, Non-Current Assets increased in 1 of the last four quarters, with growth averaging 53.3%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2022 (growth of 344.3%), and the weakest in Q1 2023 (a decline of 79.3%).
- Business Quant data shows TGTX's Non-Current Assets at $441.87 million (Q1 2026), $432.49 million (Q4 2025) and $425.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,155.80 Bn | 1,124.39 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 630.65 Bn | 549.18 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 502.74 Bn | 475.85 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 375.34 Bn | 329.72 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 301.36 Bn | 265.35 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 265.02 Bn | 238.70 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 239.16 Bn | 194.55 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 192.63 Bn | 166.82 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 171.82 Bn | 118.47 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Tg Therapeutics | 7.56 Bn | 6.95 Bn | 199.14 Mn | 493.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 493.94 Mn |
| Mar 31, 2026 | 441.87 Mn |
| Dec 31, 2025 | 432.49 Mn |
| Sep 30, 2025 | 425.26 Mn |
| Jun 30, 2025 | 38.65 Mn |
| Mar 31, 2025 | 12.18 Mn |
| Dec 31, 2024 | 11.33 Mn |
| Sep 30, 2024 | 11.95 Mn |
| Jun 30, 2024 | 12.06 Mn |
| Mar 31, 2024 | 12.74 Mn |
| Dec 31, 2023 | 11.64 Mn |
| Sep 30, 2023 | 11.95 Mn |
| Jun 30, 2023 | 12.28 Mn |
| Mar 31, 2023 | 12.58 Mn |
| Dec 31, 2022 | 25.30 Mn |
| Sep 30, 2022 | 34.97 Mn |
| Jun 30, 2022 | 49.11 Mn |
| Mar 31, 2022 | 60.81 Mn |
| Dec 31, 2021 | 48.66 Mn |
| Sep 30, 2021 | 37.91 Mn |
API Access
Tg Therapeutics Non-Current Assets 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=non-current-assets&ticker=TGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();