TherapeuticsMD (TXMD) Total Non-Current Liabilities (2012 - 2026)
TherapeuticsMD (TXMD) recorded Total Non-Current Liabilities of $9.52 million in Q2 2026, down 8.2% from $10.38 million a year earlier and down 2.2% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, TherapeuticsMD reported Total Non-Current Liabilities of $9.91 million, down 7.5% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -47.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $10.71 million in FY2024 (-20.0%), $13.39 million in FY2023 (-75.3%), $54.21 million in FY2022 (-79.2%) and $260.95 million in FY2021 (+5.9%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2012.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 17 consecutive quarters, with an average decline of 16.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 8.2% in Q3 2021, against a decline of 90.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.74 million (Q1 2026), $9.91 million (Q4 2025) and $10.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | TherapeuticsMD | 21.67 Mn | 21.67 Mn | - | 9.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.52 Mn |
| Mar 31, 2026 | 9.74 Mn |
| Dec 31, 2025 | 9.91 Mn |
| Sep 30, 2025 | 10.36 Mn |
| Jun 30, 2025 | 10.38 Mn |
| Mar 31, 2025 | 10.70 Mn |
| Dec 31, 2024 | 10.71 Mn |
| Sep 30, 2024 | 11.75 Mn |
| Jun 30, 2024 | 11.82 Mn |
| Mar 31, 2024 | 12.79 Mn |
| Dec 31, 2023 | 13.39 Mn |
| Sep 30, 2023 | 21.25 Mn |
| Jun 30, 2023 | 21.30 Mn |
| Mar 31, 2023 | 26.47 Mn |
| Dec 31, 2022 | 54.21 Mn |
| Sep 30, 2022 | 181.62 Mn |
| Jun 30, 2022 | 171.71 Mn |
| Mar 31, 2022 | 272.73 Mn |
| Dec 31, 2021 | 260.95 Mn |
| Sep 30, 2021 | 266.23 Mn |
API Access
TherapeuticsMD Total Non-Current 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-non-current-liabilities&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();