Wave Life Sciences (WVE) Return on Sales [ROS] (2015 - 2026)
Wave Life Sciences (WVE) recorded Return on Sales [ROS] of -3248.33% in Q2 2026, down 2641.83 percentage points from -606.49% a year earlier and down 3166.49 percentage points from the prior quarter.
Wave Life Sciences (WVE) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, Wave Life Sciences' Return on Sales [ROS] came in at -333.36% as of Jun 30, 2026, down 202.06 percentage points year-over-year; for FY2025, it was -504.09%, down 402.15 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +259.85 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -101.94% in FY2024 (-41.93 pp), -60.01% in FY2023 (+4399.29 pp), -4459.30% in FY2022 (-4149.24 pp) and -310.07% in FY2021 (+453.88 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -486.31 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 13657.80 percentage points in Q3 2023, against a drop of 13627.89 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -81.83% (Q1 2026), -327.44% (Q4 2025) and -740.71% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Wave Life Sciences | 730.59 Mn | -980.30 Mn | - | -3,248.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,248.33% |
| Mar 31, 2026 | -81.83% |
| Dec 31, 2025 | -327.44% |
| Sep 30, 2025 | -740.71% |
| Jun 30, 2025 | -606.49% |
| Mar 31, 2025 | -542.82% |
| Dec 31, 2024 | 27.42% |
| Sep 30, 2024 | -832.66% |
| Jun 30, 2024 | -177.72% |
| Mar 31, 2024 | -274.83% |
| Dec 31, 2023 | -64.30% |
| Sep 30, 2023 | 9.03% |
| Jun 30, 2023 | -106.18% |
| Mar 31, 2023 | -234.24% |
| Dec 31, 2022 | -3,515.98% |
| Sep 30, 2022 | -13,648.77% |
| Jun 30, 2022 | -11,243.73% |
| Mar 31, 2022 | -2,176.80% |
| Dec 31, 2021 | -2,045.89% |
| Sep 30, 2021 | -20.89% |
Wave Life Sciences Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();