Loop Industries (LOOP) Total Liabilities (2010 - 2026)
Loop Industries (LOOP) posted Total Liabilities of $18.14 million for fiscal Q4 2026 (quarter ended Feb 28, 2026), down 0.4% from $18.21 million a year earlier and down 2.5% from the prior quarter.
Loop Industries (LOOP) Total Liabilities (2010 - 2026) Analysis & Trends
Since fiscal Q4 2015, Loop Industries has reported Total Liabilities for 44 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- In prior fiscal years, Loop Industries' Total Liabilities was $18.21 million in FY2025 (+184.1%), $6.41 million in FY2024 (-6.1%), $6.82 million in FY2023 (-48.4%) and $13.22 million in FY2022 (+25.0%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 75.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2022, with growth of 219.2%; the weakest was fiscal Q4 2023, with a decline of 48.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $18.61 million (Q3 2026), $18.76 million (Q2 2026) and $18.64 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 3.74 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 13.94 Bn |
| 10 | Loop Industries | 15.22 Mn | -9.40 Mn | - | 18.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 18.14 Mn |
| Nov 30, 2025 | 18.61 Mn |
| Aug 31, 2025 | 18.76 Mn |
| May 31, 2025 | 18.64 Mn |
| Feb 28, 2025 | 18.21 Mn |
| Nov 30, 2024 | 11.56 Mn |
| Aug 31, 2024 | 10.17 Mn |
| May 31, 2024 | 9.47 Mn |
| Feb 29, 2024 | 6.41 Mn |
| Nov 30, 2023 | 5.88 Mn |
| Aug 31, 2023 | 6.32 Mn |
| May 31, 2023 | 8.13 Mn |
| Feb 28, 2023 | 6.82 Mn |
| Nov 30, 2022 | 11.26 Mn |
| Aug 31, 2022 | 10.26 Mn |
| May 31, 2022 | 11.28 Mn |
| Feb 28, 2022 | 13.22 Mn |
| Nov 30, 2021 | -54.74 Mn |
| Aug 31, 2021 | 9.47 Mn |
| May 31, 2021 | 11.64 Mn |
Loop Industries 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=LOOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LOOP", "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=LOOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();