TherapeuticsMD (TXMD) Amortization - Intangibles (2024 - 2026)
TherapeuticsMD (TXMD) recorded Amortization - Intangibles of $13,000 in Q2 2026, down 86.2% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Amortization - Intangibles (2024 - 2026) Analysis & Trends
On a TTM basis, TherapeuticsMD's Amortization - Intangibles came in at $195,000 as of Jun 30, 2026, down 81.3% year-over-year; for FY2025, it came in at $176,000, down 86.1% from FY2024.
- Across earlier years, Amortization - Intangibles came in at $1.27 million in FY2024.
- The Q2 2026 figure is the lowest quarterly Amortization - Intangibles in data going back to Q1 2024.
- On a year-over-year basis, Amortization - Intangibles rose in 1 of the last four quarters, with an average decline of 46.8%.
- Per Business Quant, the preceding three quarters came in at $94,000 (Q1 2026), $56,000 (Q4 2025) and $32,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | TherapeuticsMD | 21.41 Mn | 21.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,000.00 |
| Mar 31, 2026 | 94,000.00 |
| Dec 31, 2025 | 56,000.00 |
| Sep 30, 2025 | 32,000.00 |
| Mar 31, 2025 | 88,000.00 |
| Dec 31, 2024 | 859,000.00 |
| Sep 30, 2024 | 96,000.00 |
| Jun 30, 2024 | 190,000.00 |
| Mar 31, 2024 | 133,000.00 |
API Access
TherapeuticsMD Amortization - Intangibles 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=amortization-intangibles&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "TXMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();