Repligen (RGEN) Long-Term Debt Repayments (2018 - 2023)
Repligen (RGEN) reported Long-Term Debt Repayments of $69.94 million for FY2024.
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Analysis
Repligen (RGEN) Long-Term Debt Repayments (2018 - 2023) Analysis & Trends
Dating back to FY2010, Repligen's Long-Term Debt Repayments record includes 6 years.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -9.5% (FY2019 to FY2024).
- The FY2024 figure ranks as the highest annual Long-Term Debt Repayments since FY2019.
- According to Business Quant data, Long-Term Debt Repayments came in at $21,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | - |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | - |
| 10 | Repligen | 10.03 Bn | 6.91 Bn | 110.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -33,000.00 |
| Sep 30, 2023 | 24,000.00 |
| Jun 30, 2023 | 9,000.00 |
| Dec 31, 2022 | -18,000.00 |
| Jun 30, 2022 | 12,000.00 |
| Mar 31, 2022 | 6,000.00 |
| Dec 31, 2021 | 12,000.00 |
| Sep 30, 2021 | 1,000.00 |
| Jun 30, 2021 | 7,000.00 |
| Mar 31, 2021 | 1,000.00 |
| Sep 30, 2019 | 114.97 Mn |
| Mar 31, 2018 | 11,000.00 |
API Access
Repligen 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=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RGEN", "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=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();