AbCellera Biologics (ABCL) Return on Sales [ROS] (2020 - 2026)
AbCellera Biologics' Return on Sales [ROS] was -1550.05% in Q2 2026, down 1259.81 percentage points from -290.24% a year earlier and down 858.30 percentage points from the prior quarter.
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Analysis
AbCellera Biologics (ABCL) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, AbCellera Biologics' Return on Sales [ROS] was -340.25% through Jun 30, 2026, up 507.36 percentage points year-over-year; for FY2025, it was -288.98%, up 802.71 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -355.90 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -1091.69% in FY2024 (-467.87 pp), -623.82% in FY2023 (-668.42 pp), 44.60% in FY2022 (-9.88 pp) and 54.48% in FY2021 (-12.44 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +27.72 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 1376.97 percentage points); the worst was Q2 2026 (a drop of 1259.81 percentage points).
- Per Business Quant data, ABCL's Return on Sales [ROS] in the three quarters before Q2 2026 was -691.75% (Q1 2026), -63.72% (Q4 2025) and -851.79% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 37.40% |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | -1,550.05% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,550.05% |
| Mar 31, 2026 | -691.75% |
| Dec 31, 2025 | -63.72% |
| Sep 30, 2025 | -851.79% |
| Jun 30, 2025 | -290.24% |
| Mar 31, 2025 | -1,479.57% |
| Dec 31, 2024 | -1,440.69% |
| Sep 30, 2024 | -1,439.42% |
| Jun 30, 2024 | -1,276.17% |
| Mar 31, 2024 | -551.48% |
| Dec 31, 2023 | -719.61% |
| Sep 30, 2023 | -831.79% |
| Jun 30, 2023 | -511.03% |
| Mar 31, 2023 | -532.10% |
| Dec 31, 2022 | -175.34% |
| Sep 30, 2022 | 37.22% |
| Jun 30, 2022 | -18.29% |
| Mar 31, 2022 | 71.06% |
| Dec 31, 2021 | 58.53% |
| Sep 30, 2021 | -510.09% |
API Access
AbCellera Biologics 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=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ABCL", "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=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();