COSCIENS Biopharma (CSCIF) Total Non-Current Liabilities (2021 - 2026)
COSCIENS Biopharma's Total Non-Current Liabilities came in at $1.84 million for Q1 2026, down 86.8% from $13.94 million a year earlier and down 86.9% from the prior quarter.
COSCIENS Biopharma (CSCIF) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, COSCIENS Biopharma's Total Non-Current Liabilities was $13.98 million, down 4.8% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of -7.8% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $14.69 million in FY2024 (+949.8%), $1.4 million in FY2023 (-89.4%), $13.21 million in FY2022 (-31.8%) and $19.35 million in FY2021.
- The Q1 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 112.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2024 (growth of 949.8%), and the weakest in Q4 2023 (a decline of 89.4%).
- Business Quant data shows CSCIF's Total Non-Current Liabilities at $13.98 million (Q4 2025), $14.8 million (Q3 2025) and $14.93 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 13.30 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 6.74 Bn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 35.57 Bn |
| 10 | COSCIENS Biopharma | 19.90 Mn | -10.27 Mn | 793,000.00 | 1.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.84 Mn |
| Dec 31, 2025 | 13.98 Mn |
| Sep 30, 2025 | 14.80 Mn |
| Jun 30, 2025 | 14.93 Mn |
| Mar 31, 2025 | 13.94 Mn |
| Dec 31, 2024 | 14.69 Mn |
| Sep 30, 2024 | 15.59 Mn |
| Jun 30, 2024 | 13.92 Mn |
| Mar 31, 2024 | 13.57 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 11.98 Mn |
| Jun 30, 2023 | 13.33 Mn |
| Mar 31, 2023 | 13.64 Mn |
| Dec 31, 2022 | 13.21 Mn |
| Sep 30, 2022 | 17.10 Mn |
| Jun 30, 2022 | 17.44 Mn |
| Mar 31, 2022 | 23.09 Mn |
| Dec 31, 2021 | 19.35 Mn |
COSCIENS Biopharma Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CSCIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CSCIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();