Wave Life Sciences (WVE) Cash & Equivalents (2014 - 2026)
Wave Life Sciences' Cash & Equivalents came in at $197.32 million for Q3 2026, up 0.6% from $196.22 million a year earlier but down 46.4% from the prior quarter.
Wave Life Sciences (WVE) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Wave Life Sciences' Cash & Equivalents was $602.07 million, up 99.3% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $302.08 million in FY2024 (+50.8%), $200.35 million in FY2023 (+126.4%), $88.5 million in FY2022 (-41.2%) and $150.56 million in FY2021 (-18.4%).
- The five-year range for quarterly Cash & Equivalents is $61.71 million (Q1 2022) to $602.07 million (Q4 2025).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 48.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2023 (growth of 236.4%), and the weakest in Q1 2022 (a decline of 58.5%).
- Business Quant data shows WVE's Cash & Equivalents at $368.01 million (Q2 2026), $544.6 million (Q1 2026) and $602.07 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Wave Life Sciences | 672.50 Mn | -1.27 Bn | - | 197.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 197.32 Mn |
| Jun 30, 2026 | 368.01 Mn |
| Mar 31, 2026 | 544.60 Mn |
| Dec 31, 2025 | 602.07 Mn |
| Sep 30, 2025 | 196.22 Mn |
| Jun 30, 2025 | 208.50 Mn |
| Mar 31, 2025 | 243.10 Mn |
| Dec 31, 2024 | 302.08 Mn |
| Sep 30, 2024 | 310.95 Mn |
| Jun 30, 2024 | 154.00 Mn |
| Mar 31, 2024 | 180.92 Mn |
| Dec 31, 2023 | 200.35 Mn |
| Sep 30, 2023 | 139.94 Mn |
| Jun 30, 2023 | 173.00 Mn |
| Mar 31, 2023 | 207.60 Mn |
| Dec 31, 2022 | 88.50 Mn |
| Sep 30, 2022 | 96.95 Mn |
| Jun 30, 2022 | 123.16 Mn |
| Mar 31, 2022 | 61.71 Mn |
| Dec 31, 2021 | 150.56 Mn |
Wave Life Sciences Cash & Equivalents 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=cash-and-equivalents&ticker=WVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();