Wave Life Sciences (WVE) Total Current Liabilities (2014 - 2026)
Wave Life Sciences (WVE) posted Total Current Liabilities of $50.82 million for Q2 2026, down 41.9% from $87.41 million a year earlier but up 2.0% from the prior quarter.
Wave Life Sciences (WVE) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Wave Life Sciences' Total Current Liabilities came in at $95.07 million, down 14.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In prior years, Wave Life Sciences' Total Current Liabilities was $110.95 million in FY2024 (-40.5%), $186.44 million in FY2023 (+160.7%), $71.52 million in FY2022 (+11.4%) and $64.2 million in FY2021 (-47.0%).
- Quarterly Total Current Liabilities has run from a low of $31.64 million in Q3 2021 to a high of $186.44 million in Q4 2023 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last seven quarters, with an average decline of 26.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2023, with growth of 160.7%; the weakest was Q3 2021, with a decline of 71.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $49.83 million (Q1 2026), $95.07 million (Q4 2025) and $85.9 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 | Wave Life Sciences | 709.33 Mn | -1.00 Bn | - | 50.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.82 Mn |
| Mar 31, 2026 | 49.83 Mn |
| Dec 31, 2025 | 95.07 Mn |
| Sep 30, 2025 | 85.90 Mn |
| Jun 30, 2025 | 87.41 Mn |
| Mar 31, 2025 | 87.37 Mn |
| Dec 31, 2024 | 110.95 Mn |
| Sep 30, 2024 | 170.73 Mn |
| Jun 30, 2024 | 173.13 Mn |
| Mar 31, 2024 | 165.87 Mn |
| Dec 31, 2023 | 186.44 Mn |
| Sep 30, 2023 | 99.98 Mn |
| Jun 30, 2023 | 140.23 Mn |
| Mar 31, 2023 | 132.57 Mn |
| Dec 31, 2022 | 71.52 Mn |
| Sep 30, 2022 | 64.26 Mn |
| Jun 30, 2022 | 64.08 Mn |
| Mar 31, 2022 | 58.49 Mn |
| Dec 31, 2021 | 64.20 Mn |
| Sep 30, 2021 | 31.64 Mn |
Wave Life Sciences 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=WVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "WVE", "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=WVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();