Organogenesis Holdings (ORGO) Non-Current Debt (2017 - 2024)
Organogenesis Holdings (ORGO) reported Non-Current Debt of -$60 million for FY2021, compared with $10 million in FY2020.
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Analysis
Organogenesis Holdings (ORGO) Non-Current Debt (2017 - 2024) Analysis & Trends
- According to Business Quant data, Non-Current Debt came in at $10 million in FY2020 (-79.6%) and $49.08 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.10 Bn | 237.13 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.02 Bn | 144.45 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 162.87 Bn | 146.68 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 150.08 Bn | 129.50 Bn | 1.96 Bn | - |
| 5 | Medtronic | 120.45 Bn | 85.70 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 113.84 Bn | 99.95 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 65.73 Bn | 60.49 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 53.43 Bn | 50.58 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.60 Bn | 34.60 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Organogenesis Holdings | 133.18 Mn | -161.72 Mn | 20.08 Mn | -348,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 56.15 Mn |
| Jun 30, 2024 | 57.73 Mn |
| Mar 31, 2024 | 59.37 Mn |
| Dec 31, 2023 | 60.75 Mn |
| Sep 30, 2023 | 62.12 Mn |
| Jun 30, 2023 | 63.49 Mn |
| Mar 31, 2023 | 64.86 Mn |
| Dec 31, 2022 | 66.23 Mn |
| Sep 30, 2022 | 67.60 Mn |
| Jun 30, 2022 | 68.97 Mn |
| Mar 31, 2022 | 143.46 Mn |
| Dec 31, 2021 | 70.77 Mn |
| Sep 30, 2021 | 146.20 Mn |
| Jun 30, 2021 | 47.29 Mn |
| Mar 31, 2021 | 52.88 Mn |
| Dec 31, 2020 | 123.04 Mn |
| Sep 30, 2020 | 87.35 Mn |
| Jun 30, 2020 | 92.31 Mn |
| Mar 31, 2020 | 91.39 Mn |
| Dec 31, 2019 | 83.12 Mn |
API Access
Organogenesis Holdings Non-Current Debt 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=non-current-debt&ticker=ORGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "ORGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();