TherapeuticsMD (TXMD) Total Debt (2009 - 2024)
TherapeuticsMD's Total Debt came in at $93.6 million for Q3 2022, down 49.9% from $186.74 million a year earlier but up 3.1% from the prior quarter.
Analysis
TherapeuticsMD (TXMD) Total Debt (2009 - 2024) Analysis & Trends
At the end of FY2021, TherapeuticsMD's Total Debt was $188.27 million, down 20.8% from FY2020.
- Total Debt carries a three-year compound annual growth rate of 36.9% (FY2018 to FY2021).
- Going back by year, Total Debt was $237.7 million in FY2020 (+22.1%), $194.63 million in FY2019 (+165.2%) and $73.38 million in FY2018.
- The five-year range for quarterly Total Debt is $73.14 million (Q2 2018) to $243.8 million (Q2 2020).
- Year-over-year, Total Debt increased in two of the last eight quarters, with an average decline of 19.9%.
- The fastest year-over-year change in Total Debt over five years came in Q1 2020 (growth of 231.2%), and the weakest in Q2 2022 (a decline of 51.0%).
- Business Quant data shows TXMD's Total Debt at $90.78 million (Q2 2022), $202.86 million (Q1 2022) and $188.27 million (Q4 2021) in the three quarters before Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | TherapeuticsMD | 20.14 Mn | -12.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 186,000.00 |
| Sep 30, 2022 | 93.60 Mn |
| Jun 30, 2022 | 90.78 Mn |
| Mar 31, 2022 | 202.86 Mn |
| Dec 31, 2021 | 188.27 Mn |
| Sep 30, 2021 | 186.74 Mn |
| Jun 30, 2021 | 185.26 Mn |
| Mar 31, 2021 | 183.97 Mn |
| Dec 31, 2020 | 237.70 Mn |
| Sep 30, 2020 | 237.05 Mn |
| Jun 30, 2020 | 243.80 Mn |
| Mar 31, 2020 | 243.43 Mn |
| Dec 31, 2019 | 194.63 Mn |
| Sep 30, 2019 | 194.36 Mn |
| Jun 30, 2019 | 194.10 Mn |
| Mar 31, 2019 | 73.50 Mn |
| Dec 31, 2018 | 73.38 Mn |
| Sep 30, 2018 | 73.26 Mn |
| Jun 30, 2018 | 73.14 Mn |
| Mar 31, 2013 | 100,000.00 |
API Access
TherapeuticsMD Total Debt 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-debt&ticker=TXMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();