Tarsus Pharmaceuticals (TARS) Change in Accrued Expenses (2019 - 2026)
Tarsus Pharmaceuticals (TARS) recorded Change in Accrued Expenses of $17.45 million in Q3 2026, down 45.8% from $32.17 million a year earlier but up 31.2% from the prior quarter.
Powered by 
Analysis
Tarsus Pharmaceuticals (TARS) Change in Accrued Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Tarsus Pharmaceuticals' Change in Accrued Expenses came in at $46.08 million as of Sep 30, 2026, down 20.6% year-over-year; for FY2025, it came in at $45.39 million, up 20.1% from FY2024.
- Annual Change in Accrued Expenses has increased for three straight years, with a five-year compound annual growth rate of 69.5% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $37.79 million in FY2024 (+334.3%), $8.7 million in FY2023 (+219.8%), $2.72 million in FY2022 (-29.9%) and $3.88 million in FY2021 (+19.8%).
- Quarterly Change in Accrued Expenses has ranged from -$2.1 million in Q2 2022 to $32.17 million in Q3 2025 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in four of the last seven quarters, with growth averaging 136.6%.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 948.4% in Q2 2024, against a decline of 61.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.3 million (Q2 2026), $15.46 million (Q1 2026) and -$119,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Tarsus Pharmaceuticals | 3.64 Bn | 2.07 Bn | 180.68 Mn | 17.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.45 Mn |
| Jun 30, 2026 | 13.30 Mn |
| Mar 31, 2026 | 15.46 Mn |
| Dec 31, 2025 | -119,000.00 |
| Sep 30, 2025 | 32.17 Mn |
| Jun 30, 2025 | 3.17 Mn |
| Mar 31, 2025 | 10.17 Mn |
| Dec 31, 2024 | 12.50 Mn |
| Sep 30, 2024 | 5.87 Mn |
| Jun 30, 2024 | 7.09 Mn |
| Mar 31, 2024 | 12.34 Mn |
| Dec 31, 2023 | 3.53 Mn |
| Sep 30, 2023 | 5.81 Mn |
| Jun 30, 2023 | 676,000.00 |
| Mar 31, 2023 | -1.31 Mn |
| Dec 31, 2022 | 1.43 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | -2.10 Mn |
| Mar 31, 2022 | 1.97 Mn |
| Dec 31, 2021 | 357,000.00 |
API Access
Tarsus Pharmaceuticals Change in Accrued Expenses 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=change-in-accured-expenses&ticker=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();