Lexaria Bioscience (LEXX) Operating Expenses (2017 - 2026)
Lexaria Bioscience (LEXX) recorded Operating Expenses of $1.99 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 49.2% from $3.92 million a year earlier but up 35.5% from the prior quarter.
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Analysis
Lexaria Bioscience (LEXX) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Lexaria Bioscience's Operating Expenses came in at $7.9 million as of May 31, 2026, down 34.2% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $12.58 million, up 102.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $6.21 million in FY2024 (-7.7%), $6.73 million in FY2023 (-1.1%), $6.8 million in FY2022 (+9.1%) and $6.23 million in FY2021 (+42.8%).
- Quarterly Operating Expenses has ranged from $813,005 in fiscal Q2 2024 to $3.92 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 59.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 259.8% in fiscal Q2 2025, against a decline of 49.7% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.47 million (Q2 2026), $1.57 million (Q1 2026) and $2.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.68 Bn | 1,105.26 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 617.43 Bn | 535.95 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.53 Bn | 474.64 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.15 Bn | 322.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.54 Bn | 261.53 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 260.75 Bn | 234.43 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.10 Bn | 165.30 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Lexaria Bioscience | 2.60 Mn | -12.66 Mn | - | 1.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.99 Mn |
| Feb 28, 2026 | 1.47 Mn |
| Nov 30, 2025 | 1.57 Mn |
| Aug 31, 2025 | 2.86 Mn |
| May 31, 2025 | 3.92 Mn |
| Feb 28, 2025 | 2.93 Mn |
| Nov 30, 2024 | 2.87 Mn |
| Aug 31, 2024 | 2.29 Mn |
| May 31, 2024 | 1.83 Mn |
| Feb 29, 2024 | 813,005.00 |
| Nov 30, 2023 | 1.29 Mn |
| Aug 31, 2023 | 1.14 Mn |
| May 31, 2023 | 2.47 Mn |
| Feb 28, 2023 | 1.34 Mn |
| Nov 30, 2022 | 1.78 Mn |
| Aug 31, 2022 | 818,448.00 |
| May 31, 2022 | 2.50 Mn |
| Feb 28, 2022 | 1.47 Mn |
| Nov 30, 2021 | 2.01 Mn |
| Aug 31, 2021 | 1.31 Mn |
API Access
Lexaria Bioscience 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=LEXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LEXX", "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=LEXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();