Zomedica (ZOMDF) Return on Sales [ROS] (2021 - 2026)
Zomedica's Return on Sales [ROS] was -42.92% in Q2 2026, up 72.45 percentage points from -115.38% a year earlier and up 12.76 percentage points from the prior quarter.
Zomedica (ZOMDF) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zomedica's Return on Sales [ROS] was -56.28% through Jun 30, 2026, up 254.71 percentage points year-over-year; for FY2025, it came in at -263.36%, down 76.25 percentage points from FY2024.
- Return on Sales [ROS] has now declined for three consecutive years, though with a four-year change of +253.80 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was -187.11% in FY2024 (-15.29 pp), -171.82% in FY2023 (-56.01 pp), -115.81% in FY2022 (+401.34 pp) and -517.15% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q1 2021.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +94.17 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 33167.77 percentage points); the worst was Q1 2025 (a drop of 827.19 percentage points).
- Per Business Quant data, ZOMDF's Return on Sales [ROS] in the three quarters before Q2 2026 was -55.69% (Q1 2026), -49.32% (Q4 2025) and -81.61% (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 | Zomedica | 78.40 Mn | -119.63 Mn | 6.04 Mn | -42.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.92% |
| Mar 31, 2026 | -55.69% |
| Dec 31, 2025 | -49.32% |
| Sep 30, 2025 | -81.61% |
| Jun 30, 2025 | -115.38% |
| Mar 31, 2025 | -993.05% |
| Dec 31, 2024 | -103.36% |
| Sep 30, 2024 | -106.33% |
| Jun 30, 2024 | -408.86% |
| Mar 31, 2024 | -165.86% |
| Dec 31, 2023 | -314.46% |
| Sep 30, 2023 | -93.71% |
| Jun 30, 2023 | -111.99% |
| Mar 31, 2023 | -137.03% |
| Dec 31, 2022 | -83.42% |
| Sep 30, 2022 | -138.02% |
| Jun 30, 2022 | -138.48% |
| Mar 31, 2022 | -115.01% |
| Dec 31, 2021 | -141.26% |
| Sep 30, 2021 | -27,860.87% |
Zomedica 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=ZOMDF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ZOMDF", "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=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();