Tarsus Pharmaceuticals (TARS) Total Current Liabilities (2019 - 2026)
Tarsus Pharmaceuticals' Total Current Liabilities came in at $175.75 million for Q2 2026, up 94.7% from $90.25 million a year earlier and up 22.5% from the prior quarter.
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Analysis
Tarsus Pharmaceuticals (TARS) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Tarsus Pharmaceuticals' Total Current Liabilities was $135.7 million, up 68.3% from FY2024.
- Total Current Liabilities has increased in each of the last six years, with a five-year compound annual growth rate of 90.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $80.61 million in FY2024 (+118.2%), $36.94 million in FY2023 (+139.4%), $15.43 million in FY2022 (+34.4%) and $11.48 million in FY2021 (+113.1%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Current Liabilities has increased for 20 consecutive quarters, with growth averaging 98.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 5.1% (Q1 2023) to 249.3% (Q2 2024).
- Business Quant data shows TARS's Total Current Liabilities at $143.51 million (Q1 2026), $135.7 million (Q4 2025) and $117.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.10 Bn | 1,100.69 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 615.67 Bn | 534.20 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 504.61 Bn | 477.72 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 368.03 Bn | 322.41 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.24 Bn | 262.23 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.77 Bn | 235.46 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.81 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Tarsus Pharmaceuticals | 3.11 Bn | 2.06 Bn | 161.80 Mn | 175.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.75 Mn |
| Mar 31, 2026 | 143.51 Mn |
| Dec 31, 2025 | 135.70 Mn |
| Sep 30, 2025 | 117.05 Mn |
| Jun 30, 2025 | 90.25 Mn |
| Mar 31, 2025 | 86.31 Mn |
| Dec 31, 2024 | 80.61 Mn |
| Sep 30, 2024 | 65.87 Mn |
| Jun 30, 2024 | 51.57 Mn |
| Mar 31, 2024 | 42.53 Mn |
| Dec 31, 2023 | 36.94 Mn |
| Sep 30, 2023 | 23.25 Mn |
| Jun 30, 2023 | 14.77 Mn |
| Mar 31, 2023 | 13.26 Mn |
| Dec 31, 2022 | 15.43 Mn |
| Sep 30, 2022 | 14.27 Mn |
| Jun 30, 2022 | 11.72 Mn |
| Mar 31, 2022 | 12.61 Mn |
| Dec 31, 2021 | 11.48 Mn |
| Sep 30, 2021 | 10.37 Mn |
API Access
Tarsus Pharmaceuticals Total Current Liabilities 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=total-current-liabilities&ticker=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();