Repligen (RGEN) Total Debt (2017 - 2024)
Repligen (RGEN) recorded Total Debt of $69.48 million in Q2 2024, down 75.7% from $285.52 million a year earlier and unchanged from the prior quarter.
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Analysis
Repligen (RGEN) Total Debt (2017 - 2024) Analysis & Trends
At the end of FY2023, Repligen reported Total Debt of $69.45 million, down 75.6% from FY2022.
- Annual Total Debt has a five-year compound annual growth rate of -7.7% (FY2018 to FY2023).
- Across earlier years, Total Debt came in at $284.62 million in FY2022 (+11.5%), $255.26 million in FY2021 (+4.7%) and $243.74 million in FY2020.
- Quarterly Total Debt has ranged from $69.45 million in Q4 2023 to $285.96 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Debt has declined for three consecutive quarters, with an average decline of 25.1% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 14.9% in Q1 2022, against a decline of 75.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $69.48 million (Q1 2024), $69.45 million (Q4 2023) and $285.96 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Repligen | 10.85 Bn | 7.74 Bn | 110.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 69.48 Mn |
| Mar 31, 2024 | 69.48 Mn |
| Dec 31, 2023 | 69.45 Mn |
| Sep 30, 2023 | 285.96 Mn |
| Jun 30, 2023 | 285.52 Mn |
| Mar 31, 2023 | 285.07 Mn |
| Dec 31, 2022 | 284.62 Mn |
| Sep 30, 2022 | 284.17 Mn |
| Jun 30, 2022 | 283.71 Mn |
| Mar 31, 2022 | 283.27 Mn |
| Dec 31, 2021 | 255.26 Mn |
| Sep 30, 2021 | 252.32 Mn |
| Jun 30, 2021 | 249.42 Mn |
| Mar 31, 2021 | 246.56 Mn |
| Dec 31, 2020 | 243.74 Mn |
| Jun 30, 2019 | 105.70 Mn |
| Mar 31, 2019 | 104.60 Mn |
| Dec 31, 2018 | 103.49 Mn |
| Sep 30, 2018 | 102.40 Mn |
| Jun 30, 2018 | 101.33 Mn |
API Access
Repligen Total 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=total-debt&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();