Tarsus Pharmaceuticals (TARS) Non-Current Assets (2019 - 2026)
Tarsus Pharmaceuticals (TARS) recorded Non-Current Assets of $49.15 million in Q2 2026, up 139.0% from $20.57 million a year earlier and up 12.0% from the prior quarter.
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Analysis
Tarsus Pharmaceuticals (TARS) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Tarsus Pharmaceuticals reported Non-Current Assets of $39.38 million, up 94.1% from FY2024.
- Annual Non-Current Assets has increased for three straight years, with a five-year compound annual growth rate of 97.3% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $20.29 million in FY2024 (+116.7%), $9.36 million in FY2023 (+276.2%), $2.49 million in FY2022 (-15.8%) and $2.96 million in FY2021 (+124.4%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2019.
- On a year-over-year basis, Non-Current Assets has increased for 13 consecutive quarters, with growth averaging 103.8% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 279.3% in Q3 2023, against a decline of 28.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.91 million (Q1 2026), $39.38 million (Q4 2025) and $32.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Tarsus Pharmaceuticals | 3.32 Bn | 2.27 Bn | 161.80 Mn | 49.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.15 Mn |
| Mar 31, 2026 | 43.91 Mn |
| Dec 31, 2025 | 39.38 Mn |
| Sep 30, 2025 | 32.86 Mn |
| Jun 30, 2025 | 20.57 Mn |
| Mar 31, 2025 | 19.98 Mn |
| Dec 31, 2024 | 20.29 Mn |
| Sep 30, 2024 | 19.18 Mn |
| Jun 30, 2024 | 14.26 Mn |
| Mar 31, 2024 | 8.55 Mn |
| Dec 31, 2023 | 9.36 Mn |
| Sep 30, 2023 | 9.06 Mn |
| Jun 30, 2023 | 5.45 Mn |
| Mar 31, 2023 | 2.57 Mn |
| Dec 31, 2022 | 2.49 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 2.55 Mn |
| Mar 31, 2022 | 2.73 Mn |
| Dec 31, 2021 | 2.96 Mn |
| Sep 30, 2021 | 3.32 Mn |
API Access
Tarsus Pharmaceuticals Non-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=non-current-assets&ticker=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();