Tarsus Pharmaceuticals (TARS) Enterprise Value (2020 - 2026)
Tarsus Pharmaceuticals' Enterprise Value was $2.48 billion in Q2 2026, up 73.9% from $1.43 billion a year earlier but down 9.3% from the prior quarter.
Tarsus Pharmaceuticals (TARS) Enterprise Value (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tarsus Pharmaceuticals' Enterprise Value was $1.67 billion through Jun 30, 2026, up 95.0% year-over-year; for FY2025, it came in at $3.25 billion, up 68.7% from FY2024.
- Enterprise Value has now increased for three consecutive years, with a five-year compound annual growth rate of 105.6% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $1.93 billion in FY2024 (+314.1%), $465.33 million in FY2023 (+166.2%), $174.8 million in FY2022 (-40.5%) and $293.94 million in FY2021 (+232.4%).
- Quarterly Enterprise Value has moved between $143.61 million (Q2 2022) and $3.25 billion (Q4 2025) over five years.
- Compared with a year earlier, Enterprise Value has increased for 14 straight quarters, with growth averaging 100.9% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q1 2024 (growth of 528.5%); the worst was Q2 2022 (a decline of 65.8%).
- Per Business Quant data, TARS's Enterprise Value in the three quarters before Q2 2026 was $2.73 billion (Q1 2026), $3.25 billion (Q4 2025) and $2.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Tarsus Pharmaceuticals | 3.32 Bn | 2.27 Bn | 161.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Bn |
| Mar 31, 2026 | 2.73 Bn |
| Dec 31, 2025 | 3.25 Bn |
| Sep 30, 2025 | 2.23 Bn |
| Jun 30, 2025 | 1.43 Bn |
| Mar 31, 2025 | 1.93 Bn |
| Dec 31, 2024 | 1.93 Bn |
| Sep 30, 2024 | 1.12 Bn |
| Jun 30, 2024 | 891.18 Mn |
| Mar 31, 2024 | 1.27 Bn |
| Dec 31, 2023 | 465.33 Mn |
| Sep 30, 2023 | 568.05 Mn |
| Jun 30, 2023 | 414.63 Mn |
| Mar 31, 2023 | 201.66 Mn |
| Dec 31, 2022 | 174.80 Mn |
| Sep 30, 2022 | 400.02 Mn |
| Jun 30, 2022 | 143.61 Mn |
| Mar 31, 2022 | 173.18 Mn |
| Dec 31, 2021 | 293.94 Mn |
| Sep 30, 2021 | 262.28 Mn |
Tarsus Pharmaceuticals Enterprise Value 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=enterprise-value&ticker=TARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();