Arvinas (ARVN) Total Current Liabilities (2017 - 2026)
Arvinas' Total Current Liabilities was $82.5 million in Q2 2026, down 47.7% from $157.8 million a year earlier and down 28.8% from the prior quarter.
Arvinas (ARVN) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Arvinas came in at $142.5 million, down 38.0% from FY2024.
- Total Current Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $229.8 million in FY2024 (-10.6%), $257.1 million in FY2023 (-12.9%), $295.1 million in FY2022 (+12.8%) and $261.7 million in FY2021 (+431.9%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q2 2021.
- Compared with a year earlier, Total Current Liabilities has declined for eight straight quarters, with an average decline of 33.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 489.5%); the worst was Q2 2025 (a decline of 54.6%).
- Per Business Quant data, ARVN's Total Current Liabilities in the three quarters before Q2 2026 was $115.9 million (Q1 2026), $142.5 million (Q4 2025) and $144.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Arvinas | 490.40 Mn | -2.17 Bn | - | 82.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.50 Mn |
| Mar 31, 2026 | 115.90 Mn |
| Dec 31, 2025 | 142.50 Mn |
| Sep 30, 2025 | 144.90 Mn |
| Jun 30, 2025 | 157.80 Mn |
| Mar 31, 2025 | 214.00 Mn |
| Dec 31, 2024 | 229.80 Mn |
| Sep 30, 2024 | 275.90 Mn |
| Jun 30, 2024 | 347.20 Mn |
| Mar 31, 2024 | 240.80 Mn |
| Dec 31, 2023 | 257.10 Mn |
| Sep 30, 2023 | 317.30 Mn |
| Jun 30, 2023 | 306.90 Mn |
| Mar 31, 2023 | 282.90 Mn |
| Dec 31, 2022 | 295.10 Mn |
| Sep 30, 2022 | 244.60 Mn |
| Jun 30, 2022 | 238.20 Mn |
| Mar 31, 2022 | 238.00 Mn |
| Dec 31, 2021 | 261.70 Mn |
| Sep 30, 2021 | 182.51 Mn |
Arvinas 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=ARVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();