TherapeuticsMD (TXMD) Total Liabilities (2010 - 2026)
TherapeuticsMD's Total Liabilities came in at $10.4 million for Q2 2026, down 7.3% from $11.21 million a year earlier and down 2.0% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, TherapeuticsMD's Total Liabilities was $10.78 million, down 5.9% from FY2024.
- Total Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -48.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $11.45 million in FY2024 (-18.3%), $14.02 million in FY2023 (-74.7%), $55.32 million in FY2022 (-79.0%) and $263.09 million in FY2021 (-13.9%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2016.
- Year-over-year, Total Liabilities has declined for 17 consecutive quarters, with an average decline of 14.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 10.1%), and the weakest in Q1 2023 (a decline of 89.9%).
- Business Quant data shows TXMD's Total Liabilities at $10.61 million (Q1 2026), $10.78 million (Q4 2025) and $11.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | TherapeuticsMD | 21.67 Mn | 21.67 Mn | - | 10.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.40 Mn |
| Mar 31, 2026 | 10.61 Mn |
| Dec 31, 2025 | 10.78 Mn |
| Sep 30, 2025 | 11.23 Mn |
| Jun 30, 2025 | 11.21 Mn |
| Mar 31, 2025 | 11.50 Mn |
| Dec 31, 2024 | 11.45 Mn |
| Sep 30, 2024 | 12.46 Mn |
| Jun 30, 2024 | 12.46 Mn |
| Mar 31, 2024 | 13.42 Mn |
| Dec 31, 2023 | 14.02 Mn |
| Sep 30, 2023 | 22.44 Mn |
| Jun 30, 2023 | 22.49 Mn |
| Mar 31, 2023 | 27.58 Mn |
| Dec 31, 2022 | 55.32 Mn |
| Sep 30, 2022 | 182.18 Mn |
| Jun 30, 2022 | 172.27 Mn |
| Mar 31, 2022 | 273.96 Mn |
| Dec 31, 2021 | 263.09 Mn |
| Sep 30, 2021 | 266.99 Mn |
API Access
TherapeuticsMD Total Liabilities 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=total-liabilities&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();