COSCIENS Biopharma (CSCIF) Return on Sales [ROS] (2009 - 2026)
COSCIENS Biopharma (CSCIF) recorded Return on Sales [ROS] of -38.67% in Q1 2026, up 153.04 percentage points from -191.71% a year earlier and up 96.56 percentage points from the prior quarter.
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Analysis
COSCIENS Biopharma (CSCIF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, COSCIENS Biopharma's Return on Sales [ROS] came in at -98.83% as of Mar 31, 2026, up 115.53 percentage points year-over-year; for FY2025, it was -142.45%, up 48.22 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +13.79 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -190.67% in FY2024 (-125.87 pp), -64.80% in FY2023 (-94.45 pp), 29.65% in FY2022 (+194.49 pp) and -164.85% in FY2021 (-8.60 pp).
- The Q1 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of -2.91 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2044.30 percentage points in Q2 2023, against a drop of 1988.02 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -135.22% (Q4 2025), -156.64% (Q3 2025) and -85.59% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | - |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 14.89% |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 19.10% |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 28.15% |
| 10 | COSCIENS Biopharma | 18.43 Mn | -11.74 Mn | 793,000.00 | -38.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -38.67% |
| Dec 31, 2025 | -135.22% |
| Sep 30, 2025 | -156.64% |
| Jun 30, 2025 | -85.59% |
| Mar 31, 2025 | -191.71% |
| Dec 31, 2024 | -192.90% |
| Sep 30, 2024 | -336.34% |
| Jun 30, 2024 | -160.68% |
| Mar 31, 2024 | -88.19% |
| Dec 31, 2023 | -167.71% |
| Sep 30, 2023 | -56.92% |
| Jun 30, 2023 | -80.03% |
| Mar 31, 2023 | -197.70% |
| Dec 31, 2022 | 136.38% |
| Sep 30, 2022 | -200.05% |
| Jun 30, 2022 | -2,124.32% |
| Mar 31, 2022 | -185.43% |
| Dec 31, 2021 | -327.51% |
| Sep 30, 2021 | -195.06% |
| Jun 30, 2021 | -136.30% |
API Access
COSCIENS Biopharma 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=CSCIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CSCIF", "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=CSCIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();