TherapeuticsMD (TXMD) Operating Expenses (2010 - 2026)
TherapeuticsMD (TXMD) recorded Operating Expenses of $1.69 million in Q2 2026, up 2.3% from $1.65 million a year earlier and up 16.4% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, TherapeuticsMD's Operating Expenses came in at $7.22 million as of Jun 30, 2026, up 14.3% year-over-year; for FY2025, it came in at $7.41 million, down 5.9% from FY2024.
- Annual Operating Expenses has declined for five straight years, with a five-year compound annual growth rate of -48.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $7.87 million in FY2024 (-19.9%), $9.83 million in FY2023 (-85.4%), $67.38 million in FY2022 (-16.6%) and $80.75 million in FY2021 (-60.5%).
- Quarterly Operating Expenses has ranged from -$77.8 million in Q4 2021 to $60.05 million in Q3 2021 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 0.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 85.4% in Q4 2025, against a decline of 89.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.45 million (Q1 2026), $2.45 million (Q4 2025) and $1.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | TherapeuticsMD | 21.67 Mn | 21.67 Mn | - | 1.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.69 Mn |
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 2.45 Mn |
| Sep 30, 2025 | 1.65 Mn |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Dec 31, 2024 | 1.32 Mn |
| Sep 30, 2024 | 1.68 Mn |
| Jun 30, 2024 | 3.02 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 2.11 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Jun 30, 2023 | 2.91 Mn |
| Mar 31, 2023 | 3.08 Mn |
| Dec 31, 2022 | 20.12 Mn |
| Sep 30, 2022 | 14.52 Mn |
| Jun 30, 2022 | 14.86 Mn |
| Mar 31, 2022 | 17.88 Mn |
| Dec 31, 2021 | -77.80 Mn |
| Sep 30, 2021 | 60.05 Mn |
API Access
TherapeuticsMD 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=operating-expenses&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();