Tarsus Pharmaceuticals (TARS) Receivables (2020 - 2026)
Tarsus Pharmaceuticals' Receivables was $98.31 million in Q2 2026, up 63.2% from $60.24 million a year earlier but down 16.1% from the prior quarter.
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Analysis
Tarsus Pharmaceuticals (TARS) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Tarsus Pharmaceuticals came in at $87.11 million, up 81.3% from FY2024.
- Receivables has now increased for three consecutive years, with a five-year compound annual growth rate of 434.3% (FY2020 to FY2025).
- In earlier years, Receivables was $48.06 million in FY2024 (+171.3%), $17.71 million in FY2023 (+394.5%), $3.58 million in FY2022 and $92,000 in FY2021 (+360.0%).
- Quarterly Receivables has moved between $92,000 (Q4 2021) and $117.21 million (Q1 2026) over five years.
- Compared with a year earlier, Receivables has increased for eight straight quarters, with growth averaging 139.9% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2024 (growth of 974.7%); the worst was Q1 2022 (a decline of 99.0%).
- Per Business Quant data, TARS's Receivables in the three quarters before Q2 2026 was $117.21 million (Q1 2026), $87.11 million (Q4 2025) and $74.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Tarsus Pharmaceuticals | 3.32 Bn | 2.27 Bn | 161.80 Mn | 98.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.31 Mn |
| Mar 31, 2026 | 117.21 Mn |
| Dec 31, 2025 | 87.11 Mn |
| Sep 30, 2025 | 74.34 Mn |
| Jun 30, 2025 | 60.24 Mn |
| Mar 31, 2025 | 64.15 Mn |
| Dec 31, 2024 | 48.06 Mn |
| Sep 30, 2024 | 30.30 Mn |
| Jun 30, 2024 | 30.84 Mn |
| Mar 31, 2024 | 31.36 Mn |
| Dec 31, 2023 | 17.71 Mn |
| Sep 30, 2023 | 6.37 Mn |
| Mar 31, 2023 | 2.92 Mn |
| Dec 31, 2022 | 3.58 Mn |
| Sep 30, 2022 | 4.01 Mn |
| Jun 30, 2022 | 620,000.00 |
| Mar 31, 2022 | 323,000.00 |
| Dec 31, 2021 | 92,000.00 |
| Jun 30, 2021 | 20.16 Mn |
| Mar 31, 2021 | 32.20 Mn |
API Access
Tarsus Pharmaceuticals Receivables 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=receivables&ticker=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();