Tarsus Pharmaceuticals (TARS) Total Liabilities (2019 - 2026)
Tarsus Pharmaceuticals (TARS) reported Total Liabilities of $401.47 million for Q3 2026, up 101.3% from $199.48 million a year earlier and up 51.8% from the prior quarter.
Powered by 
Analysis
Tarsus Pharmaceuticals (TARS) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Tarsus Pharmaceuticals posted Total Liabilities of $218.73 million, up 43.5% from FY2024.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 105.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $152.46 million in FY2024 (+122.6%), $68.5 million in FY2023 (+95.9%), $34.96 million in FY2022 (+187.1%) and $12.18 million in FY2021 (+103.2%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2019.
- Year over year, Total Liabilities has now increased in each of the last 20 quarters, with growth averaging 70.6% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 17.1% (Q1 2023) and 202.4% (Q2 2024) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at $264.41 million (Q2 2026), $232.18 million (Q1 2026) and $218.73 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Tarsus Pharmaceuticals | 3.35 Bn | 2.41 Bn | 180.68 Mn | 401.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 401.47 Mn |
| Jun 30, 2026 | 264.41 Mn |
| Mar 31, 2026 | 232.18 Mn |
| Dec 31, 2025 | 218.73 Mn |
| Sep 30, 2025 | 199.48 Mn |
| Jun 30, 2025 | 162.38 Mn |
| Mar 31, 2025 | 158.29 Mn |
| Dec 31, 2024 | 152.46 Mn |
| Sep 30, 2024 | 138.82 Mn |
| Jun 30, 2024 | 124.60 Mn |
| Mar 31, 2024 | 74.07 Mn |
| Dec 31, 2023 | 68.50 Mn |
| Sep 30, 2023 | 54.67 Mn |
| Jun 30, 2023 | 41.20 Mn |
| Mar 31, 2023 | 37.81 Mn |
| Dec 31, 2022 | 34.96 Mn |
| Sep 30, 2022 | 33.84 Mn |
| Jun 30, 2022 | 31.32 Mn |
| Mar 31, 2022 | 32.29 Mn |
| Dec 31, 2021 | 12.18 Mn |
API Access
Tarsus Pharmaceuticals Total 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-liabilities&ticker=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();