COSCIENS Biopharma (CSCIF) Return on Sales [ROS] (2018 - 2025)
COSCIENS Biopharma (CSCIF) recorded Return on Sales [ROS] of -135.22% in Q4 2025, up 57.68 percentage points from -192.90% a year earlier and up 21.42 percentage points from the prior quarter.
COSCIENS Biopharma (CSCIF) Return on Sales [ROS] (2018 - 2025) Analysis & Trends
For FY2025, COSCIENS Biopharma reported Return on Sales [ROS] of -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 (-124.47 pp), -66.20% in FY2023 (-93.07 pp), 26.87% in FY2022 (+191.71 pp) and -164.85% in FY2021 (-8.60 pp).
- Quarterly Return on Sales [ROS] has ranged from -2124.32% in Q2 2022 to 136.38% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -8.35 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 -156.64% (Q3 2025), -85.59% (Q2 2025) and -191.71% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | COSCIENS Biopharma | 20.50 Mn | -4.69 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Mar 31, 2021 | -79.68% |
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_KEY
import 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();