Tg Therapeutics (TGTX) Other Operating Expenses (2011 - 2026)
Tg Therapeutics' Other Operating Expenses came in at $62.33 million for Q2 2026, up 43.1% from $43.54 million a year earlier but down 14.8% from the prior quarter.
Tg Therapeutics (TGTX) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tg Therapeutics reported Other Operating Expenses of $237.22 million, up 62.9% year-over-year; for FY2025, it was $183.98 million, up 49.7% from FY2024.
- Other Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 34.7% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $122.92 million in FY2024 (+25.7%), $97.78 million in FY2023 (+52.7%), $64.05 million in FY2022 (-29.5%) and $90.86 million in FY2021 (+118.8%).
- The five-year range for quarterly Other Operating Expenses is $10.51 million (Q3 2022) to $73.14 million (Q1 2026).
- Year-over-year, Other Operating Expenses has increased for 14 consecutive quarters, with growth averaging 47.3% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2023 (growth of 152.0%), and the weakest in Q3 2022 (a decline of 58.7%).
- Business Quant data shows TGTX's Other Operating Expenses at $73.14 million (Q1 2026), $50.73 million (Q4 2025) and $51.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Tg Therapeutics | 7.52 Bn | 6.90 Bn | 199.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.33 Mn |
| Mar 31, 2026 | 73.14 Mn |
| Dec 31, 2025 | 50.73 Mn |
| Sep 30, 2025 | 51.02 Mn |
| Jun 30, 2025 | 43.54 Mn |
| Mar 31, 2025 | 38.69 Mn |
| Dec 31, 2024 | 30.18 Mn |
| Sep 30, 2024 | 33.22 Mn |
| Jun 30, 2024 | 31.83 Mn |
| Mar 31, 2024 | 27.69 Mn |
| Dec 31, 2023 | 24.62 Mn |
| Sep 30, 2023 | 26.50 Mn |
| Jun 30, 2023 | 23.84 Mn |
| Mar 31, 2023 | 22.83 Mn |
| Dec 31, 2022 | 17.21 Mn |
| Sep 30, 2022 | 10.51 Mn |
| Jun 30, 2022 | 15.94 Mn |
| Mar 31, 2022 | 20.38 Mn |
| Dec 31, 2021 | 23.04 Mn |
| Sep 30, 2021 | 25.44 Mn |
Tg Therapeutics Other Operating 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=other-operating-expenses&ticker=TGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();