Tarsus Pharmaceuticals (TARS) Property, Plant & Equipment (Net) (2019 - 2026)
Tarsus Pharmaceuticals' Property, Plant & Equipment (Net) came in at $20.72 million for Q3 2026, up 260.6% from $5.75 million a year earlier and up 1.1% from the prior quarter.
Tarsus Pharmaceuticals (TARS) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Tarsus Pharmaceuticals' Property, Plant & Equipment (Net) was $11.67 million, up 404.1% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last six years, with a five-year compound annual growth rate of 84.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $2.31 million in FY2024 (+57.6%), $1.47 million in FY2023 (+53.4%), $957,000 in FY2022 (+26.8%) and $755,000 in FY2021 (+37.8%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 20 consecutive quarters, with growth averaging 261.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 12.2% in Q1 2024 to 543.9% in Q2 2026.
- Business Quant data shows TARS's Property, Plant & Equipment (Net) at $20.49 million (Q2 2026), $17.67 million (Q1 2026) and $11.67 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 32.19 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.10 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 5.94 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 25.90 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 14.06 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 8.88 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.95 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 19.05 Bn |
| 10 | Tarsus Pharmaceuticals | 3.64 Bn | 2.07 Bn | 180.68 Mn | 20.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.72 Mn |
| Jun 30, 2026 | 20.49 Mn |
| Mar 31, 2026 | 17.67 Mn |
| Dec 31, 2025 | 11.67 Mn |
| Sep 30, 2025 | 5.75 Mn |
| Jun 30, 2025 | 3.18 Mn |
| Mar 31, 2025 | 2.79 Mn |
| Dec 31, 2024 | 2.31 Mn |
| Sep 30, 2024 | 2.39 Mn |
| Jun 30, 2024 | 2.24 Mn |
| Mar 31, 2024 | 1.34 Mn |
| Dec 31, 2023 | 1.47 Mn |
| Sep 30, 2023 | 1.61 Mn |
| Jun 30, 2023 | 1.54 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 957,000.00 |
| Sep 30, 2022 | 951,000.00 |
| Jun 30, 2022 | 963,000.00 |
| Mar 31, 2022 | 915,000.00 |
| Dec 31, 2021 | 755,000.00 |
Tarsus Pharmaceuticals 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=TARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "TARS", "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=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();