Tg Therapeutics (TGTX) Non Operating Interest Expenses (2011 - 2026)
Tg Therapeutics (TGTX) reported Non Operating Interest Expenses of $16.57 million for Q2 2026, up 146.8% from $6.72 million a year earlier and up 116.2% from the prior quarter.
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Analysis
Tg Therapeutics (TGTX) Non Operating Interest Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tg Therapeutics' Non Operating Interest Expenses came in at $37.49 million, up 19.5% year-over-year; for FY2025, it was $26.73 million, up 11.2% from FY2024.
- Non Operating Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 33.4% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $24.03 million in FY2024 (+90.5%), $12.62 million in FY2023 (+23.8%), $10.19 million in FY2022 (+80.8%) and $5.64 million in FY2021 (-10.9%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q4 2011.
- Year over year, Non Operating Interest Expenses gained in six of the last eight quarters, with growth averaging 95.1%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2025 (growth of 195.3%); the low point was Q3 2025 (a decline of 38.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.67 million (Q1 2026), $6.53 million (Q4 2025) and $6.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | - |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -462.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -435.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Tg Therapeutics | 8.21 Bn | 7.60 Bn | 199.14 Mn | 16.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.57 Mn |
| Mar 31, 2026 | 7.67 Mn |
| Dec 31, 2025 | 6.53 Mn |
| Sep 30, 2025 | 6.72 Mn |
| Jun 30, 2025 | 6.72 Mn |
| Mar 31, 2025 | 6.76 Mn |
| Dec 31, 2024 | 7.06 Mn |
| Sep 30, 2024 | 10.83 Mn |
| Jun 30, 2024 | 3.98 Mn |
| Mar 31, 2024 | 2.29 Mn |
| Dec 31, 2023 | 2.43 Mn |
| Sep 30, 2023 | 3.71 Mn |
| Jun 30, 2023 | 3.63 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 2.86 Mn |
| Sep 30, 2022 | 1.65 Mn |
| Jun 30, 2022 | 3.02 Mn |
| Mar 31, 2022 | 2.66 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 1.04 Mn |
API Access
Tg Therapeutics Non Operating Interest Expenses 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-operating-interest-expenses&ticker=TGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();