TherapeuticsMD (TXMD) Cash & Equivalents (2010 - 2025)
TherapeuticsMD's Cash & Equivalents was $7.12 million in Q3 2025, up 41.0% from $5.05 million a year earlier and up 17.2% from the prior quarter.
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Analysis
TherapeuticsMD (TXMD) Cash & Equivalents (2010 - 2025) Analysis & Trends
At the end of FY2024, Cash & Equivalents at TherapeuticsMD came in at $5.06 million, up 16.9% from FY2023.
- Cash & Equivalents shows a five-year compound annual growth rate of -49.9% (FY2019 to FY2024).
- In earlier years, Cash & Equivalents was $4.33 million in FY2023 (-91.2%), $49.32 million in FY2022 (-24.0%), $64.91 million in FY2021 (-19.4%) and $80.49 million in FY2020 (-50.0%).
- The Q3 2025 figure marks the highest quarterly Cash & Equivalents since Q3 2023.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with an average decline of 21.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2025 (growth of 41.0%); the worst was Q4 2023 (a decline of 91.2%).
- Per Business Quant data, TXMD's Cash & Equivalents in the three quarters before Q3 2025 was $6.07 million (Q2 2025), $5.75 million (Q1 2025) and $5.06 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,167.69 Bn | 1,136.27 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 648.01 Bn | 567.87 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.52 Bn | 476.63 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 367.68 Bn | 322.06 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 303.32 Bn | 267.31 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 269.17 Bn | 242.86 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 242.30 Bn | 197.70 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 195.24 Bn | 169.44 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 172.59 Bn | 119.24 Bn | 10.94 Bn | 976.00 Mn |
| 10 | TherapeuticsMD | 21.41 Mn | 21.41 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.12 Mn |
| Jun 30, 2025 | 6.07 Mn |
| Mar 31, 2025 | 5.75 Mn |
| Dec 31, 2024 | 5.06 Mn |
| Sep 30, 2024 | 5.05 Mn |
| Jun 30, 2024 | 5.23 Mn |
| Mar 31, 2024 | 4.34 Mn |
| Dec 31, 2023 | 4.33 Mn |
| Sep 30, 2023 | 10.17 Mn |
| Jun 30, 2023 | 13.73 Mn |
| Mar 31, 2023 | 17.25 Mn |
| Dec 31, 2022 | 49.32 Mn |
| Sep 30, 2022 | 38.33 Mn |
| Jun 30, 2022 | 37.55 Mn |
| Mar 31, 2022 | 30.38 Mn |
| Dec 31, 2021 | 64.91 Mn |
| Sep 30, 2021 | 104.84 Mn |
| Jun 30, 2021 | 111.42 Mn |
| Mar 31, 2021 | 137.62 Mn |
| Dec 31, 2020 | 80.49 Mn |
API Access
TherapeuticsMD Cash & Equivalents 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=cash-and-equivalents&ticker=TXMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();