TherapeuticsMD (TXMD) Property, Plant & Equipment (Net) (2010 - 2023)
TherapeuticsMD (TXMD) posted Property, Plant & Equipment (Net) of $19,000 for Q3 2023, down 96.6% from $551,000 a year earlier and down 51.3% from the prior quarter.
TherapeuticsMD (TXMD) Property, Plant & Equipment (Net) (2010 - 2023) Analysis & Trends
At the end of FY2022, TherapeuticsMD's Property, Plant & Equipment (Net) came in at $78,000, down 90.5% from FY2021.
- Annual Property, Plant & Equipment (Net) has declined for three consecutive years, with a five-year compound annual growth rate of -29.2% (FY2017 to FY2022).
- In prior years, TherapeuticsMD's Property, Plant & Equipment (Net) was $823,000 in FY2021 (-57.6%), $1.94 million in FY2020 (-22.6%), $2.51 million in FY2019 (+430.5%) and $472,683 in FY2018 (+8.2%).
- The Q3 2023 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 13 quarters, with an average decline of 73.9% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2019, with growth of 512.2%; the weakest was Q3 2023, with a decline of 96.6%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $39,000 (Q2 2023), $58,000 (Q1 2023) and $78,000 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 24.10 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 19.03 Bn |
| 10 | TherapeuticsMD | 20.83 Mn | 20.83 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 19,000.00 |
| Jun 30, 2023 | 39,000.00 |
| Mar 31, 2023 | 58,000.00 |
| Dec 31, 2022 | 78,000.00 |
| Sep 30, 2022 | 551,000.00 |
| Jun 30, 2022 | 710,000.00 |
| Mar 31, 2022 | 1.08 Mn |
| Dec 31, 2021 | 823,000.00 |
| Sep 30, 2021 | 1.39 Mn |
| Jun 30, 2021 | 1.65 Mn |
| Mar 31, 2021 | 1.81 Mn |
| Dec 31, 2020 | 1.94 Mn |
| Sep 30, 2020 | 1.97 Mn |
| Jun 30, 2020 | 2.15 Mn |
| Mar 31, 2020 | 2.33 Mn |
| Dec 31, 2019 | 2.51 Mn |
| Sep 30, 2019 | 2.34 Mn |
| Jun 30, 2019 | 1.43 Mn |
| Dec 31, 2018 | 472,683.00 |
| Sep 30, 2018 | 381,928.00 |
TherapeuticsMD Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TXMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();