Loop Industries (LOOP) Operating Expenses (2011 - 2025)
Loop Industries' Operating Expenses was $2.63 million in fiscal Q3 2026 (quarter ended Nov 30, 2025), down 78.3% from $12.12 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Loop Industries (LOOP) Operating Expenses (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Loop Industries' Operating Expenses was $11.49 million through Nov 30, 2025, down 58.1% year-over-year; for FY2025 (ended Feb 28, 2025), it was $25.08 million, up 14.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $21.9 million in FY2024 (-42.9%), $38.33 million in FY2023 (-6.7%), $41.08 million in FY2022 (+13.0%) and $36.34 million in FY2021 (+150.6%).
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Expenses since fiscal Q2 2018.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with an average decline of 5.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 251.1%); the worst was fiscal Q3 2026 (a decline of 78.3%).
- Per Business Quant data, LOOP's Operating Expenses in the three fiscal quarters before Q3 2026 was $2.85 million (Q2 2026), $3.01 million (Q1 2026) and $3.01 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Loop Industries | 21.27 Mn | -3.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 2.63 Mn |
| Aug 31, 2025 | 2.85 Mn |
| May 31, 2025 | 3.01 Mn |
| Feb 28, 2025 | 3.01 Mn |
| Nov 30, 2024 | 12.12 Mn |
| Aug 31, 2024 | 4.67 Mn |
| May 31, 2024 | 5.29 Mn |
| Feb 29, 2024 | 5.37 Mn |
| Nov 30, 2023 | 4.42 Mn |
| Aug 31, 2023 | 5.02 Mn |
| May 31, 2023 | 7.09 Mn |
| Feb 28, 2023 | 4.55 Mn |
| Nov 30, 2022 | 7.90 Mn |
| Aug 31, 2022 | 7.90 Mn |
| May 31, 2022 | 17.98 Mn |
| Feb 28, 2022 | 10.43 Mn |
| Nov 30, 2021 | 10.10 Mn |
| Aug 31, 2021 | 8.39 Mn |
| May 31, 2021 | 12.16 Mn |
| Feb 28, 2021 | 13.19 Mn |
API Access
Loop Industries Operating Expenses 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=operating-expenses&ticker=LOOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LOOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();