Repligen (RGEN) Notes Payables (2017 - 2024)
Repligen's Short-Term Borrowings was $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) Notes Payables (2017 - 2024) Analysis & Trends
At the end of FY2023, Short-Term Borrowings at Repligen came in at $69.45 million, down 75.6% from FY2022.
- Short-Term Borrowings shows a five-year compound annual growth rate of -7.7% (FY2018 to FY2023).
- In earlier years, Short-Term Borrowings was $284.62 million in FY2022 (+11.5%), $255.26 million in FY2021 (+4.7%) and $243.74 million in FY2020.
- Quarterly Short-Term Borrowings has moved between $69.45 million (Q4 2023) and $285.96 million (Q3 2023) over five years.
- Compared with a year earlier, Short-Term Borrowings has declined for three straight quarters, with an average decline of 25.1% over the last eight quarters.
- The best year-over-year quarter for Short-Term Borrowings over five years was Q1 2022 (growth of 14.9%); the worst was Q2 2024 (a decline of 75.7%).
- Per Business Quant data, RGEN's Short-Term Borrowings in the three quarters before Q2 2024 was $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) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 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 |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 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 Notes Payables 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=notes-payables&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();