Lexaria Bioscience (LEXX) Research & Development (2017 - 2026)
Lexaria Bioscience's Research & Development was $970,834 in fiscal Q3 2026 (quarter ended May 31, 2026), down 64.3% from $2.72 million a year earlier but up 104.2% from the prior quarter.
Lexaria Bioscience (LEXX) Research & Development (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lexaria Bioscience's Research & Development was $4 million through May 31, 2026, down 45.4% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $8.24 million, up 249.0% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 84.3% (FY2020 to FY2025).
- In earlier fiscal years, Research & Development was $2.36 million in FY2024 (-35.6%), $3.67 million in FY2023 (+99.0%), $1.84 million in FY2022 (+45.9%) and $1.26 million in FY2021 (+226.3%).
- Quarterly Research & Development has moved between $245,779 (fiscal Q2 2024) and $2.72 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Research & Development has declined for three straight quarters, with growth averaging 148.3% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was fiscal Q2 2025 (growth of 585.9%); the worst was fiscal Q2 2026 (a decline of 71.8%).
- Per Business Quant data, LEXX's Research & Development in the three fiscal quarters before Q3 2026 was $475,388 (Q2 2026), $671,340 (Q1 2026) and $1.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Lexaria Bioscience | 2.58 Mn | -12.67 Mn | - | 970,834.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 970,834.00 |
| Feb 28, 2026 | 475,388.00 |
| Nov 30, 2025 | 671,340.00 |
| Aug 31, 2025 | 1.88 Mn |
| May 31, 2025 | 2.72 Mn |
| Feb 28, 2025 | 1.69 Mn |
| Nov 30, 2024 | 1.95 Mn |
| Aug 31, 2024 | 967,206.00 |
| May 31, 2024 | 573,089.00 |
| Feb 29, 2024 | 245,779.00 |
| Nov 30, 2023 | 574,491.00 |
| Aug 31, 2023 | 500,406.00 |
| May 31, 2023 | 1.64 Mn |
| Feb 28, 2023 | 696,178.00 |
| Nov 30, 2022 | 829,489.00 |
| Aug 31, 2022 | 356,188.00 |
| May 31, 2022 | 752,095.00 |
| Feb 28, 2022 | 275,686.00 |
| Nov 30, 2021 | 458,709.00 |
| Aug 31, 2021 | 439,793.00 |
Lexaria Bioscience Research & Development 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=research-and-development&ticker=LEXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LEXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();