Lexaria Bioscience (LEXX) Net Debt Issuances and Repayments (2010 - 2023)
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Analysis
Lexaria Bioscience (LEXX) Net Debt Issuances and Repayments (2010 - 2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 11.58 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | -4.36 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | -2.00 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | -5.00 Mn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 2.17 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | -2.46 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -17.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 64.00 Mn |
| 10 | Lexaria Bioscience | 2.79 Mn | -12.47 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 |
| Aug 31, 2020 | 1,914.00 |
| May 31, 2017 | -32,000.00 |
| Feb 28, 2017 | -13,500.00 |
| Nov 30, 2016 | -4,500.00 |
| Aug 31, 2016 | 50,000.00 |
| May 31, 2016 | 45,000.00 |
| Feb 28, 2015 | 678,194.00 |
| Nov 30, 2014 | -776,936.00 |
| Apr 30, 2014 | 1.28 Mn |
| Jan 31, 2014 | 50,000.00 |
| Oct 31, 2013 | -30,029.00 |
| Jul 31, 2013 | -77,174.00 |
API Access
Lexaria Bioscience Net Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=LEXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-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=net-debt-issuances-and-repayments&ticker=LEXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();