Tarsus Pharmaceuticals (TARS) Current Assets (2019 - 2026)
Tarsus Pharmaceuticals' Current Assets came in at $561.99 million for Q2 2026, up 18.5% from $474.43 million a year earlier and up 4.6% from the prior quarter.
Tarsus Pharmaceuticals (TARS) Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Tarsus Pharmaceuticals' Current Assets was $522.78 million, up 46.6% from FY2024.
- Current Assets has increased in each of the last six years, with a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Going back by year, Current Assets was $356.71 million in FY2024 (+39.3%), $256.13 million in FY2023 (+13.6%), $225.38 million in FY2022 (+28.1%) and $175.95 million in FY2021 (+3.1%).
- The Q2 2026 figure represents the highest quarterly Current Assets in data going back to Q4 2019.
- Year-over-year, Current Assets has increased for 12 consecutive quarters, with growth averaging 33.3% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in Q3 2021 (growth of 110.0%), and the weakest in Q2 2023 (a decline of 26.7%).
- Business Quant data shows TARS's Current Assets at $537.23 million (Q1 2026), $522.78 million (Q4 2025) and $501.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 12.54 Bn |
| 10 | Tarsus Pharmaceuticals | 3.32 Bn | 2.27 Bn | 161.80 Mn | 561.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 561.99 Mn |
| Mar 31, 2026 | 537.23 Mn |
| Dec 31, 2025 | 522.78 Mn |
| Sep 30, 2025 | 501.70 Mn |
| Jun 30, 2025 | 474.43 Mn |
| Mar 31, 2025 | 480.77 Mn |
| Dec 31, 2024 | 356.71 Mn |
| Sep 30, 2024 | 357.12 Mn |
| Jun 30, 2024 | 362.59 Mn |
| Mar 31, 2024 | 340.72 Mn |
| Dec 31, 2023 | 256.13 Mn |
| Sep 30, 2023 | 259.28 Mn |
| Jun 30, 2023 | 183.48 Mn |
| Mar 31, 2023 | 208.65 Mn |
| Dec 31, 2022 | 225.38 Mn |
| Sep 30, 2022 | 234.08 Mn |
| Jun 30, 2022 | 250.28 Mn |
| Mar 31, 2022 | 178.76 Mn |
| Dec 31, 2021 | 175.95 Mn |
| Sep 30, 2021 | 187.09 Mn |
Tarsus Pharmaceuticals Current Assets 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=current-assets&ticker=TARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();