Organogenesis Holdings (ORGO) Long-Term Debt Repayments (2018 - 2026)
Organogenesis Holdings' Long-Term Debt Repayments came in at $348,000 for Q2 2026, up 20.8% from $288,000 a year earlier but down 96.5% from the prior quarter.
Organogenesis Holdings (ORGO) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Organogenesis Holdings reported Long-Term Debt Repayments of $10.79 million, down 83.2% year-over-year; for FY2025, it was $1.17 million, down 98.2% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $66.56 million in FY2024, $4.69 million in FY2023 (+66.7%), $2.81 million in FY2022 (+7.0%) and $2.63 million in FY2021 (+8.4%).
- The five-year range for quarterly Long-Term Debt Repayments is $285,000 (Q1 2025) to $62.34 million (Q4 2024).
- Year-over-year, Long-Term Debt Repayments increased in 1 of the last six quarters, with an average decline of 52.8%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2022 (growth of 253.1%), and the weakest in Q4 2025 (a decline of 99.5%).
- Business Quant data shows ORGO's Long-Term Debt Repayments at $9.84 million (Q1 2026), $302,000 (Q4 2025) and $296,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Organogenesis Holdings | 133.82 Mn | -161.08 Mn | 20.08 Mn | 348,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 348,000.00 |
| Mar 31, 2026 | 9.84 Mn |
| Dec 31, 2025 | 302,000.00 |
| Sep 30, 2025 | 296,000.00 |
| Jun 30, 2025 | 288,000.00 |
| Mar 31, 2025 | 285,000.00 |
| Dec 31, 2024 | 62.62 Mn |
| Sep 30, 2024 | 1.68 Mn |
| Jun 30, 2024 | 1.67 Mn |
| Mar 31, 2024 | 1.67 Mn |
| Dec 31, 2023 | 1.78 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Jun 30, 2023 | 1.02 Mn |
| Mar 31, 2023 | 938,000.00 |
| Dec 31, 2022 | 1.88 Mn |
| Jun 30, 2022 | 570,000.00 |
| Mar 31, 2022 | 568,000.00 |
| Dec 31, 2021 | 3.09 Mn |
| Sep 30, 2021 | 725,000.00 |
| Jun 30, 2021 | 699,000.00 |
Organogenesis Holdings 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=ORGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();