TherapeuticsMD (TXMD) Selling, General & Administrative (2010 - 2026)
TherapeuticsMD (TXMD) recorded Selling, General & Administrative of $1.58 million in Q2 2026, up 1.7% from $1.55 million a year earlier and up 16.6% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, TherapeuticsMD's Selling, General & Administrative came in at $6.74 million as of Jun 30, 2026, up 15.4% year-over-year; for FY2025, it was $6.85 million, up 12.4% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -38.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $6.1 million in FY2024 (-31.5%), $8.9 million in FY2023 (-84.3%), $56.71 million in FY2022 (-29.8%) and $80.75 million in FY2021 (+4.9%).
- Quarterly Selling, General & Administrative has ranged from $1.21 million in Q4 2024 to $28.44 million in Q3 2021 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with growth averaging 8.7%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 89.1% in Q4 2025, against a decline of 88.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.35 million (Q1 2026), $2.29 million (Q4 2025) and $1.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 3.41 Bn |
| 10 | TherapeuticsMD | 21.59 Mn | 21.59 Mn | - | 1.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Mn |
| Mar 31, 2026 | 1.35 Mn |
| Dec 31, 2025 | 2.29 Mn |
| Sep 30, 2025 | 1.52 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 1.59 Mn |
| Jun 30, 2024 | 1.58 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 1.48 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 2.78 Mn |
| Mar 31, 2023 | 3.06 Mn |
| Dec 31, 2022 | 10.34 Mn |
| Sep 30, 2022 | 14.25 Mn |
| Jun 30, 2022 | 14.58 Mn |
| Mar 31, 2022 | 17.55 Mn |
| Dec 31, 2021 | 14.06 Mn |
| Sep 30, 2021 | 28.44 Mn |
API Access
TherapeuticsMD Selling, General & Administrative 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=selling-general-and-administrative&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();