COSCIENS Biopharma (CSCIF) Total Liabilities (2016 - 2026)
COSCIENS Biopharma (CSCIF) posted Total Liabilities of $3.52 million for Q1 2026, down 83.2% from $21 million a year earlier and down 80.0% from the prior quarter.
COSCIENS Biopharma (CSCIF) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, COSCIENS Biopharma's Total Liabilities came in at $17.59 million, down 19.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, COSCIENS Biopharma's Total Liabilities was $21.91 million in FY2024 (+708.5%), $2.71 million in FY2023 (-32.5%), $4.02 million in FY2022 (-93.1%) and $58.17 million in FY2021 (+141.7%).
- The Q1 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2023.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with growth averaging 82.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2024, with growth of 708.5%; the weakest was Q4 2022, with a decline of 93.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $17.59 million (Q4 2025), $18.78 million (Q3 2025) and $20.46 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 236.63 Bn | 218.21 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 106.15 Bn | 98.71 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 83.32 Bn | 82.36 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 69.00 Bn | 64.19 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 42.32 Bn | 31.82 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.70 Bn | 30.53 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Ppg Industries | 24.95 Bn | 17.61 Bn | 1.81 Bn | 13.94 Bn |
| 8 | International Flavors & Fragrances | 23.77 Bn | 21.43 Bn | 853.00 Mn | 11.15 Bn |
| 9 | Dow | 23.27 Bn | 6.77 Bn | 2.17 Bn | 44.22 Bn |
| 10 | COSCIENS Biopharma | 19.90 Mn | -10.27 Mn | 793,000.00 | 3.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.52 Mn |
| Dec 31, 2025 | 17.59 Mn |
| Sep 30, 2025 | 18.78 Mn |
| Jun 30, 2025 | 20.46 Mn |
| Mar 31, 2025 | 21.00 Mn |
| Dec 31, 2024 | 21.91 Mn |
| Sep 30, 2024 | 23.76 Mn |
| Jun 30, 2024 | 23.82 Mn |
| Mar 31, 2024 | 12.60 Mn |
| Dec 31, 2023 | 2.71 Mn |
| Sep 30, 2023 | 20.42 Mn |
| Jun 30, 2023 | 23.12 Mn |
| Mar 31, 2023 | 20.07 Mn |
| Dec 31, 2022 | 4.02 Mn |
| Sep 30, 2022 | 17.19 Mn |
| Jun 30, 2022 | 17.53 Mn |
| Mar 31, 2022 | 23.19 Mn |
| Dec 31, 2021 | 58.17 Mn |
| Sep 30, 2021 | 22.41 Mn |
| Jun 30, 2021 | 23.06 Mn |
COSCIENS Biopharma Total 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-liabilities&ticker=CSCIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CSCIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();