TherapeuticsMD (TXMD) Receivables (2009 - 2022)
TherapeuticsMD (TXMD) posted Receivables of $32.16 million for Q3 2022, down 14.0% from $37.4 million a year earlier and down 29.8% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Receivables (2009 - 2022) Analysis & Trends
At the end of FY2021, TherapeuticsMD's Receivables came in at $36.18 million, up 11.7% from FY2020.
- Annual Receivables has increased for four consecutive years, with a five-year compound annual growth rate of 51.7% (FY2016 to FY2021).
- In prior years, TherapeuticsMD's Receivables was $32.38 million in FY2020 (+32.7%), $24.4 million in FY2019 (+120.5%), $11.06 million in FY2018 (+155.6%) and $4.33 million in FY2017 (-3.8%).
- The Q3 2022 figure stands as the lowest quarterly Receivables since Q3 2020.
- On a year-over-year basis, Receivables increased in seven of the last eight quarters, with growth averaging 34.2%.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2019, with growth of 226.8%; the weakest was Q3 2022, with a decline of 14.0%.
- According to Business Quant data, Receivables for the three prior quarters was $45.8 million (Q2 2022), $35.41 million (Q1 2022) and $36.18 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 14.19 Bn |
| 10 | TherapeuticsMD | 20.14 Mn | -12.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 32.16 Mn |
| Jun 30, 2022 | 45.80 Mn |
| Mar 31, 2022 | 35.41 Mn |
| Dec 31, 2021 | 36.18 Mn |
| Sep 30, 2021 | 37.40 Mn |
| Jun 30, 2021 | 33.48 Mn |
| Mar 31, 2021 | 33.72 Mn |
| Dec 31, 2020 | 32.38 Mn |
| Sep 30, 2020 | 24.06 Mn |
| Jun 30, 2020 | 18.29 Mn |
| Mar 31, 2020 | 20.66 Mn |
| Dec 31, 2019 | 24.40 Mn |
| Sep 30, 2019 | 15.32 Mn |
| Jun 30, 2019 | 18.38 Mn |
| Mar 31, 2019 | 14.94 Mn |
| Dec 31, 2018 | 11.06 Mn |
| Sep 30, 2018 | 12.80 Mn |
| Jun 30, 2018 | 5.63 Mn |
| Mar 31, 2018 | 5.10 Mn |
| Dec 31, 2017 | 4.33 Mn |
API Access
TherapeuticsMD Receivables 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=receivables&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();