Tg Therapeutics (TGTX) Total Non-Current Liabilities (2010 - 2024)
Tg Therapeutics (TGTX) reported Total Non-Current Liabilities of $211.85 million for Q1 2024, up 25.8% from $168.35 million a year earlier and up 26.4% from the prior quarter.
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Analysis
Tg Therapeutics (TGTX) Total Non-Current Liabilities (2010 - 2024) Analysis & Trends
At the end of FY2023, Tg Therapeutics posted Total Non-Current Liabilities of $167.67 million, up 25.7% from FY2022.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 32.4% (FY2018 to FY2023).
- By year, Total Non-Current Liabilities came in at $133.36 million in FY2022 (-5.2%), $140.64 million in FY2021 (+34.9%), $104.24 million in FY2020 (-14.7%) and $122.27 million in FY2019 (+196.6%).
- The Q1 2024 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 26.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2019 (growth of 196.6%); the low point was Q4 2020 (a decline of 14.7%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $167.67 million (Q4 2023), $164.83 million (Q3 2023) and $178.88 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Tg Therapeutics | 8.54 Bn | 7.93 Bn | 199.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 211.85 Mn |
| Dec 31, 2023 | 167.67 Mn |
| Sep 30, 2023 | 164.83 Mn |
| Jun 30, 2023 | 178.88 Mn |
| Mar 31, 2023 | 168.35 Mn |
| Dec 31, 2022 | 133.36 Mn |
| Sep 30, 2022 | 115.73 Mn |
| Jun 30, 2022 | 120.90 Mn |
| Mar 31, 2022 | 130.86 Mn |
| Dec 31, 2021 | 140.64 Mn |
| Sep 30, 2021 | 96.28 Mn |
| Jun 30, 2021 | 96.33 Mn |
| Mar 31, 2021 | 101.42 Mn |
| Dec 31, 2020 | 104.24 Mn |
| Sep 30, 2020 | 101.09 Mn |
| Jun 30, 2020 | 98.24 Mn |
| Mar 31, 2020 | 101.03 Mn |
| Dec 31, 2019 | 122.27 Mn |
| Sep 30, 2019 | 116.96 Mn |
| Jun 30, 2019 | 91.18 Mn |
API Access
Tg Therapeutics Total Non-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-non-current-liabilities&ticker=TGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();