Lexaria Bioscience (LEXX) Long-Term Debt Repayments (2016 - 2023)
Lexaria Bioscience's Long-Term Debt Repayments came in at $8,963 for fiscal Q1 2024 (quarter ended Nov 30, 2023), down 20.0% from $11,204 a year earlier.
Powered by 
Analysis
Lexaria Bioscience (LEXX) Long-Term Debt Repayments (2016 - 2023) Analysis & Trends
Over the trailing twelve months to Nov 30, 2023, Lexaria Bioscience reported Long-Term Debt Repayments of -$2,241; for FY2022 (ended Aug 31, 2022), it was $44,600, up 96.1% from FY2021.
- Going back by fiscal year, Long-Term Debt Repayments was $22,744 in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is -$11,204 (fiscal Q2 2023) to $11,205 (fiscal Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,148.13 Bn | 1,116.72 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 630.09 Bn | 548.62 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 498.99 Bn | 472.10 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 374.92 Bn | 329.30 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 300.99 Bn | 264.98 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 264.63 Bn | 238.32 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 239.15 Bn | 194.55 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 192.23 Bn | 166.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | Lexaria Bioscience | 2.53 Mn | -12.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2023 | 8,963.00 |
| Feb 28, 2023 | -11,204.00 |
| Nov 30, 2022 | 11,204.00 |
| Aug 31, 2022 | 11,205.00 |
| May 31, 2022 | 11,204.00 |
| Feb 28, 2022 | 11,204.00 |
| Nov 30, 2021 | 10,987.00 |
| Aug 31, 2021 | -419.00 |
| May 31, 2017 | 32,000.00 |
| Feb 28, 2017 | 13,500.00 |
| Nov 30, 2016 | 4,500.00 |
API Access
Lexaria Bioscience Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LEXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LEXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();