Wave Life Sciences (WVE) Non-Current Assets (2014 - 2026)
Wave Life Sciences (WVE) posted Non-Current Assets of $50.81 million for Q2 2026, up 76.4% from $28.8 million a year earlier and up 128.1% from the prior quarter.
Wave Life Sciences (WVE) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Wave Life Sciences' Non-Current Assets came in at $23.69 million, down 25.5% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- In prior years, Wave Life Sciences' Non-Current Assets was $31.81 million in FY2024 (-19.6%), $39.58 million in FY2023 (-17.3%), $47.85 million in FY2022 (+7.7%) and $44.44 million in FY2021 (-9.7%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q2 2022.
- On a year-over-year basis, Non-Current Assets increased in 1 of the last eight quarters, with an average decline of 10.0%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2026, with growth of 76.4%; the weakest was Q1 2026, with a decline of 26.7%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $22.27 million (Q1 2026), $23.69 million (Q4 2025) and $25.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Wave Life Sciences | 709.33 Mn | -1.00 Bn | - | 50.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.81 Mn |
| Mar 31, 2026 | 22.27 Mn |
| Dec 31, 2025 | 23.69 Mn |
| Sep 30, 2025 | 25.89 Mn |
| Jun 30, 2025 | 28.80 Mn |
| Mar 31, 2025 | 30.37 Mn |
| Dec 31, 2024 | 31.81 Mn |
| Sep 30, 2024 | 33.99 Mn |
| Jun 30, 2024 | 36.74 Mn |
| Mar 31, 2024 | 38.50 Mn |
| Dec 31, 2023 | 39.58 Mn |
| Sep 30, 2023 | 41.35 Mn |
| Jun 30, 2023 | 45.28 Mn |
| Mar 31, 2023 | 47.68 Mn |
| Dec 31, 2022 | 47.85 Mn |
| Sep 30, 2022 | 50.08 Mn |
| Jun 30, 2022 | 53.21 Mn |
| Mar 31, 2022 | 42.98 Mn |
| Dec 31, 2021 | 44.44 Mn |
| Sep 30, 2021 | 42.53 Mn |
Wave Life Sciences Non-Current Assets 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=non-current-assets&ticker=WVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=WVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();