Zymeworks (ZYME) Return on Sales [ROS] (2021 - 2026)
Zymeworks' Return on Sales [ROS] was -918.95% in Q2 2026, down 917.57 percentage points from -1.38% a year earlier but up 1037.77 percentage points from the prior quarter.
Zymeworks (ZYME) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zymeworks' Return on Sales [ROS] was -418.99% through Jun 30, 2026, down 351.68 percentage points year-over-year; for FY2025, it was -87.34%, up 92.35 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +393.95 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -179.69% in FY2024 (+1.93 pp), -181.62% in FY2023 (-213.26 pp), 31.64% in FY2022 (+839.86 pp) and -808.22% in FY2021 (-326.93 pp).
- Quarterly Return on Sales [ROS] has moved between -3793.63% (Q1 2022) and 79.35% (Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -471.48 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 3716.95 percentage points); the worst was Q1 2026 (a drop of 1862.25 percentage points).
- Per Business Quant data, ZYME's Return on Sales [ROS] in the three quarters before Q2 2026 was -1956.73% (Q1 2026), -1755.55% (Q4 2025) and -80.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Zymeworks | 1.85 Bn | 737.70 Mn | - | -918.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -918.95% |
| Mar 31, 2026 | -1,956.73% |
| Dec 31, 2025 | -1,755.55% |
| Sep 30, 2025 | -80.07% |
| Jun 30, 2025 | -1.38% |
| Mar 31, 2025 | -94.48% |
| Dec 31, 2024 | -71.60% |
| Sep 30, 2024 | -213.78% |
| Jun 30, 2024 | -222.87% |
| Mar 31, 2024 | -376.89% |
| Dec 31, 2023 | -138.37% |
| Sep 30, 2023 | -201.36% |
| Jun 30, 2023 | -772.84% |
| Mar 31, 2023 | -76.68% |
| Dec 31, 2022 | 79.35% |
| Sep 30, 2022 | -1,914.03% |
| Jun 30, 2022 | -1,209.54% |
| Mar 31, 2022 | -3,793.63% |
| Dec 31, 2021 | -205.58% |
| Sep 30, 2021 | -1,387.12% |
Zymeworks 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=ZYME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ZYME", "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=ZYME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();