InMed Pharmaceuticals (INM) Long-Term Debt Repayments (2020 - 2023)
InMed Pharmaceuticals' Long-Term Debt Repayments came in at $94,400 for fiscal Q2 2024 (quarter ended Dec 31, 2023), down 12.8% from $108,209 a year earlier and down 4.4% from the prior quarter.
InMed Pharmaceuticals (INM) Long-Term Debt Repayments (2020 - 2023) Analysis & Trends
Over the trailing twelve months to Dec 31, 2023, InMed Pharmaceuticals reported Long-Term Debt Repayments of $410,572, up 28.8% year-over-year; for FY2023 (ended Jun 30, 2023), it came in at $426,575, up 24.8% from FY2022.
- Long-Term Debt Repayments has increased in each of the last three fiscal years, with a three-year compound annual growth rate of 80.5% (FY2020 to FY2023).
- Going back by fiscal year, Long-Term Debt Repayments was $341,862 in FY2022 (+263.9%), $93,951 in FY2021 (+29.5%) and $72,522 in FY2020.
- The fiscal Q2 2024 figure represents the lowest quarterly Long-Term Debt Repayments since fiscal Q4 2022.
- Year-over-year, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 116.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q2 2022 (growth of 765.6%), and the weakest in fiscal Q2 2023 (a decline of 49.6%).
- Business Quant data shows INM's Long-Term Debt Repayments at $98,709 (Q1 2024), $109,085 (Q4 2023) and $108,378 (Q3 2023) in the three fiscal quarters before Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 6.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | - |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | -21.90 Mn |
| 10 | InMed Pharmaceuticals | 5.66 Mn | 3.46 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 94,400.00 |
| Sep 30, 2023 | 98,709.00 |
| Jun 30, 2023 | 109,085.00 |
| Mar 31, 2023 | 108,378.00 |
| Dec 31, 2022 | 108,209.00 |
| Sep 30, 2022 | 100,903.00 |
| Jun 30, 2022 | 138,541.00 |
| Mar 31, 2022 | 136,822.00 |
| Dec 31, 2021 | 339,914.00 |
| Sep 30, 2021 | 17,411.00 |
| Jun 30, 2021 | 27,414.00 |
| Mar 31, 2021 | 25,480.00 |
| Dec 31, 2020 | 24,813.00 |
| Sep 30, 2020 | 16,244.00 |
| Jun 30, 2020 | 23,657.00 |
| Mar 31, 2020 | 24,279.00 |
InMed Pharmaceuticals 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=INM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "INM", "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=INM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();