Arvinas (ARVN) Total Liabilities (2016 - 2026)
Arvinas (ARVN) recorded Total Liabilities of $93.7 million in Q3 2026, down 66.5% from $279.9 million a year earlier and down 17.0% from the prior quarter.
Powered by 
Analysis
Arvinas (ARVN) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Arvinas reported Total Liabilities of $284 million, down 46.4% from FY2024.
- Annual Total Liabilities has declined for four straight years, though with a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $529.7 million in FY2024 (-17.8%), $644.6 million in FY2023 (-8.4%), $703.9 million in FY2022 (-12.0%) and $799.9 million in FY2021 (+963.7%).
- The Q3 2026 figure is the lowest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities has declined for nine consecutive quarters, with an average decline of 46.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 963.7% in Q4 2021, against a decline of 66.5% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $112.9 million (Q2 2026), $260.7 million (Q1 2026) and $284 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Arvinas | 453.26 Mn | -1.97 Bn | 400,000.00 | 93.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 93.70 Mn |
| Jun 30, 2026 | 112.90 Mn |
| Mar 31, 2026 | 260.70 Mn |
| Dec 31, 2025 | 284.00 Mn |
| Sep 30, 2025 | 279.90 Mn |
| Jun 30, 2025 | 300.00 Mn |
| Mar 31, 2025 | 341.00 Mn |
| Dec 31, 2024 | 529.70 Mn |
| Sep 30, 2024 | 581.10 Mn |
| Jun 30, 2024 | 679.40 Mn |
| Mar 31, 2024 | 602.90 Mn |
| Dec 31, 2023 | 644.60 Mn |
| Sep 30, 2023 | 601.10 Mn |
| Jun 30, 2023 | 619.90 Mn |
| Mar 31, 2023 | 664.80 Mn |
| Dec 31, 2022 | 703.90 Mn |
| Sep 30, 2022 | 713.30 Mn |
| Jun 30, 2022 | 736.40 Mn |
| Mar 31, 2022 | 765.00 Mn |
| Dec 31, 2021 | 799.90 Mn |
API Access
Arvinas 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=ARVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ARVN", "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=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();