COSCIENS Biopharma (CSCIF) Return on Capital Employed [ROCE] (2019 - 2026)
COSCIENS Biopharma (CSCIF) reported Return on Capital Employed [ROCE] of -42.24% for Q1 2026, up 31.15 percentage points from -73.39% a year earlier and up 8.85 percentage points from the prior quarter.
COSCIENS Biopharma (CSCIF) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, COSCIENS Biopharma posted Return on Capital Employed [ROCE] of -43.35%, up 39.04 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -19.19 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -82.40% in FY2024 (-63.49 pp), -18.91% in FY2023 (-28.11 pp), 9.21% in FY2022 (+26.23 pp) and -17.03% in FY2021 (+7.14 pp).
- The Q1 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Year over year, Return on Capital Employed [ROCE] gained in two of the last eight quarters, with an average year-over-year change of -26.83 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2023 (a gain of 45.44 percentage points); the low point was Q3 2024 (a drop of 58.57 percentage points).
- Per Business Quant data, the three quarters before Q1 2026 came in at -51.09% (Q4 2025), -63.26% (Q3 2025) and -74.37% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.81 Bn | 217.39 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 107.27 Bn | 99.83 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 82.74 Bn | 81.78 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.69 Bn | 63.87 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 43.10 Bn | 32.61 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.90 Bn | 30.73 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 24.78 Bn | 17.44 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 24.08 Bn | 21.74 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 23.72 Bn | 7.22 Bn | 2.17 Bn | 0.24% |
| 10 | COSCIENS Biopharma | 19.90 Mn | -10.27 Mn | 793,000.00 | -42.24% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -42.24% |
| Dec 31, 2025 | -51.09% |
| Sep 30, 2025 | -63.26% |
| Jun 30, 2025 | -74.37% |
| Mar 31, 2025 | -73.39% |
| Dec 31, 2024 | -56.74% |
| Sep 30, 2024 | -35.88% |
| Jun 30, 2024 | -28.10% |
| Mar 31, 2024 | -26.98% |
| Dec 31, 2023 | -26.63% |
| Sep 30, 2023 | 22.70% |
| Jun 30, 2023 | 14.57% |
| Mar 31, 2023 | 8.83% |
| Dec 31, 2022 | 10.75% |
| Sep 30, 2022 | -22.74% |
| Jun 30, 2022 | -18.78% |
| Mar 31, 2022 | -14.00% |
| Dec 31, 2021 | -11.83% |
| Sep 30, 2021 | -8.66% |
| Jun 30, 2021 | -7.98% |
COSCIENS Biopharma Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CSCIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CSCIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();