Tarsus Pharmaceuticals (TARS) Assets (2019 - 2026)
Tarsus Pharmaceuticals (TARS) posted Assets of $611.14 million for Q2 2026, up 23.5% from $494.99 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Tarsus Pharmaceuticals (TARS) Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Tarsus Pharmaceuticals' Assets came in at $562.16 million, up 49.1% from FY2024.
- Annual Assets has increased for six consecutive years, with a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- In prior years, Tarsus Pharmaceuticals' Assets was $376.99 million in FY2024 (+42.0%), $265.49 million in FY2023 (+16.5%), $227.86 million in FY2022 (+27.4%) and $178.91 million in FY2021 (+4.0%).
- The Q2 2026 figure stands as the highest quarterly Assets in data going back to Q4 2019.
- On a year-over-year basis, Assets has increased in each of the last 12 quarters, with growth averaging 36.0% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2021, with growth of 106.6%; the weakest was Q2 2023, with a decline of 25.3%.
- According to Business Quant data, Assets for the three prior quarters was $581.14 million (Q1 2026), $562.16 million (Q4 2025) and $534.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Tarsus Pharmaceuticals | 3.32 Bn | 2.27 Bn | 161.80 Mn | 611.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 611.14 Mn |
| Mar 31, 2026 | 581.14 Mn |
| Dec 31, 2025 | 562.16 Mn |
| Sep 30, 2025 | 534.56 Mn |
| Jun 30, 2025 | 494.99 Mn |
| Mar 31, 2025 | 500.75 Mn |
| Dec 31, 2024 | 376.99 Mn |
| Sep 30, 2024 | 376.30 Mn |
| Jun 30, 2024 | 376.84 Mn |
| Mar 31, 2024 | 349.28 Mn |
| Dec 31, 2023 | 265.49 Mn |
| Sep 30, 2023 | 268.33 Mn |
| Jun 30, 2023 | 188.93 Mn |
| Mar 31, 2023 | 211.21 Mn |
| Dec 31, 2022 | 227.86 Mn |
| Sep 30, 2022 | 236.47 Mn |
| Jun 30, 2022 | 252.83 Mn |
| Mar 31, 2022 | 181.48 Mn |
| Dec 31, 2021 | 178.91 Mn |
| Sep 30, 2021 | 190.41 Mn |
API Access
Tarsus Pharmaceuticals 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=assets&ticker=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();