Repligen (RGEN) Net Long-Term Debt Issued (Repaid) (2009 - 2023)
Repligen's Net Long-Term Debt Issued (Repaid) was -$69.94 million in FY2024, compared with $290.09 million in FY2023.
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Analysis
Repligen (RGEN) Net Long-Term Debt Issued (Repaid) (2009 - 2023) Analysis & Trends
From FY2010 onward, Repligen has reported Net Long-Term Debt Issued (Repaid) for 8 years.
- The FY2024 figure marks the lowest annual Net Long-Term Debt Issued (Repaid) in data going back to FY2010.
- Per Business Quant data, Net Long-Term Debt Issued (Repaid) in earlier years was $290.09 million in FY2023 and -$21,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | -7.00 Mn |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 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 |
| Dec 31, 2019 | -89,000.00 |
| Sep 30, 2019 | -114.97 Mn |
| Mar 31, 2018 | -11,000.00 |
| Sep 30, 2016 | -253,000.00 |
| Mar 31, 2010 | -84,810.00 |
| Dec 31, 2009 | 38,847.00 |
| Sep 30, 2009 | 1,801.00 |
| Jun 30, 2009 | 1,757.00 |
| Mar 31, 2009 | 4,945.00 |
API Access
Repligen Net Long-Term Debt Issued (Repaid) 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=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();