Wave Life Sciences (WVE) Total Non-Current Liabilities (2014 - 2026)
Wave Life Sciences' Total Non-Current Liabilities was $53.99 million in Q2 2026, up 203.2% from $17.81 million a year earlier and up 145.6% from the prior quarter.
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Analysis
Wave Life Sciences (WVE) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Wave Life Sciences came in at $17.2 million, down 27.9% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -23.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $23.87 million in FY2024 (-41.8%), $41.01 million in FY2023 (-63.4%), $112.08 million in FY2022 (+9.4%) and $102.43 million in FY2021 (+51.7%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 7.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 203.2%); the worst was Q1 2024 (a decline of 77.6%).
- Per Business Quant data, WVE's Total Non-Current Liabilities in the three quarters before Q2 2026 was $21.98 million (Q1 2026), $17.2 million (Q4 2025) and $23.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Wave Life Sciences | 703.53 Mn | -1.01 Bn | - | 53.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.99 Mn |
| Mar 31, 2026 | 21.98 Mn |
| Dec 31, 2025 | 17.20 Mn |
| Sep 30, 2025 | 23.06 Mn |
| Jun 30, 2025 | 17.81 Mn |
| Mar 31, 2025 | 21.30 Mn |
| Dec 31, 2024 | 23.87 Mn |
| Sep 30, 2024 | 38.26 Mn |
| Jun 30, 2024 | 31.29 Mn |
| Mar 31, 2024 | 36.13 Mn |
| Dec 31, 2023 | 41.01 Mn |
| Sep 30, 2023 | 132.55 Mn |
| Jun 30, 2023 | 133.61 Mn |
| Mar 31, 2023 | 161.54 Mn |
| Dec 31, 2022 | 112.08 Mn |
| Sep 30, 2022 | 113.90 Mn |
| Jun 30, 2022 | 110.42 Mn |
| Mar 31, 2022 | 101.05 Mn |
| Dec 31, 2021 | 102.43 Mn |
| Sep 30, 2021 | 131.10 Mn |
API Access
Wave Life Sciences Total Non-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-non-current-liabilities&ticker=WVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=WVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();