Edesa Biotech (EDSA) Total Non-Current Liabilities (2013 - 2023)
Edesa Biotech (EDSA) reported Total Non-Current Liabilities of $1.57 million for fiscal Q3 2023 (quarter ended Jun 30, 2023), down 72.3% from $5.66 million a year earlier and down 3.7% from the prior quarter.
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Analysis
Edesa Biotech (EDSA) Total Non-Current Liabilities (2013 - 2023) Analysis & Trends
At the end of FY2022 (ended Sep 30, 2022), Edesa Biotech posted Total Non-Current Liabilities of $2.14 million, up 44.7% from FY2021.
- Total Non-Current Liabilities has a three-year compound annual growth rate of 66.8% (FY2019 to FY2022).
- By fiscal year, Total Non-Current Liabilities came in at $1.48 million in FY2021 (-63.9%), $4.1 million in FY2020 (+788.4%) and $461,634 in FY2019.
- Five-year quarterly Total Non-Current Liabilities spans a low of $461,634 in fiscal Q4 2019 and a high of $5.66 million in fiscal Q3 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 29.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2020 (growth of 788.4%); the low point was fiscal Q3 2023 (a decline of 72.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $1.63 million (Q2 2023), $1.36 million (Q1 2023) and $2.14 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Edesa Biotech | 26.08 Mn | -19.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 1.36 Mn |
| Sep 30, 2022 | 2.14 Mn |
| Jun 30, 2022 | 5.66 Mn |
| Mar 31, 2022 | 3.34 Mn |
| Dec 31, 2021 | 1.75 Mn |
| Sep 30, 2021 | 1.48 Mn |
| Jun 30, 2021 | 1.03 Mn |
| Mar 31, 2021 | 4.68 Mn |
| Dec 31, 2020 | 2.36 Mn |
| Sep 30, 2020 | 4.10 Mn |
| Jun 30, 2020 | 3.55 Mn |
| Sep 30, 2019 | 461,634.00 |
| Aug 31, 2014 | 1.42 Mn |
| Aug 31, 2013 | 3.87 Mn |
API Access
Edesa Biotech Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=EDSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EDSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=EDSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();