TherapeuticsMD (TXMD) Long-Term Debt Repayments (2011 - 2022)
TherapeuticsMD (TXMD) recorded Long-Term Debt Repayments of $94.43 million in Q4 2022.
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Analysis
TherapeuticsMD (TXMD) Long-Term Debt Repayments (2011 - 2022) Analysis & Trends
For FY2022, TherapeuticsMD reported Long-Term Debt Repayments of $219.43 million, up 338.9% from FY2021.
- Annual Long-Term Debt Repayments has a three-year compound annual growth rate of 39.0% (FY2019 to FY2022).
- Across earlier years, Long-Term Debt Repayments came in at $50 million in FY2021 and $81.66 million in FY2019.
- Quarterly Long-Term Debt Repayments has ranged from $281.00 in Q4 2019 to $163.32 million in Q3 2019 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | TherapeuticsMD | 21.67 Mn | 21.67 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 94.43 Mn |
| Jun 30, 2022 | 120.00 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Mar 31, 2021 | 50.00 Mn |
| Dec 31, 2019 | 281.00 |
| Sep 30, 2019 | 163.32 Mn |
| Mar 31, 2013 | 4.69 Mn |
| Dec 31, 2012 | 2.00 Mn |
| Jun 30, 2012 | 50,001.00 |
| Mar 31, 2012 | 779.00 |
| Dec 31, 2011 | 197,222.00 |
API Access
TherapeuticsMD Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();