Tg Therapeutics (TGTX) Total Current Liabilities (2010 - 2026)
Tg Therapeutics (TGTX) posted Total Current Liabilities of $268.49 million for Q2 2026, up 56.2% from $171.89 million a year earlier and up 43.5% from the prior quarter.
Tg Therapeutics (TGTX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Tg Therapeutics' Total Current Liabilities came in at $153.76 million, up 69.6% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, Tg Therapeutics' Total Current Liabilities was $90.68 million in FY2024 (+68.8%), $53.72 million in FY2023 (+1.0%), $53.2 million in FY2022 (-18.6%) and $65.38 million in FY2021 (-25.3%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 14 quarters, with growth averaging 59.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2024, with growth of 116.9%; the weakest was Q3 2022, with a decline of 58.4%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $187.11 million (Q1 2026), $153.76 million (Q4 2025) and $156.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Tg Therapeutics | 8.60 Bn | 7.99 Bn | 199.14 Mn | 268.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268.49 Mn |
| Mar 31, 2026 | 187.11 Mn |
| Dec 31, 2025 | 153.76 Mn |
| Sep 30, 2025 | 156.81 Mn |
| Jun 30, 2025 | 171.89 Mn |
| Mar 31, 2025 | 160.21 Mn |
| Dec 31, 2024 | 90.68 Mn |
| Sep 30, 2024 | 125.11 Mn |
| Jun 30, 2024 | 108.66 Mn |
| Mar 31, 2024 | 99.68 Mn |
| Dec 31, 2023 | 53.72 Mn |
| Sep 30, 2023 | 57.68 Mn |
| Jun 30, 2023 | 72.67 Mn |
| Mar 31, 2023 | 63.08 Mn |
| Dec 31, 2022 | 53.20 Mn |
| Sep 30, 2022 | 36.45 Mn |
| Jun 30, 2022 | 43.33 Mn |
| Mar 31, 2022 | 54.66 Mn |
| Dec 31, 2021 | 65.38 Mn |
| Sep 30, 2021 | 87.66 Mn |
Tg Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=TGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();