Repligen (RGEN) Interest Expenses (2011 - 2026)
Repligen's Interest Expenses was $5.66 million in Q2 2026, up 5.8% from $5.35 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Repligen (RGEN) Interest Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Repligen's Interest Expenses was $22.15 million through Jun 30, 2026, up 4.5% year-over-year; for FY2025, it was $21.51 million, up 3.8% from FY2024.
- Interest Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $20.73 million in FY2024 (+728.2%), $2.5 million in FY2023 (+115.4%), $1.16 million in FY2022 (-89.7%) and $11.28 million in FY2021 (+4.7%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q2 2012.
- Compared with a year earlier, Interest Expenses has increased for seven straight quarters, with growth averaging 50.8% over the last seven quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2023 (growth of 372.6%); the worst was Q4 2022 (a decline of 90.6%).
- Per Business Quant data, RGEN's Interest Expenses in the three quarters before Q2 2026 was $5.58 million (Q1 2026), $5.5 million (Q4 2025) and $5.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Repligen | 10.16 Bn | 7.05 Bn | 110.04 Mn | 5.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.66 Mn |
| Mar 31, 2026 | 5.58 Mn |
| Dec 31, 2025 | 5.50 Mn |
| Sep 30, 2025 | 5.41 Mn |
| Jun 30, 2025 | 5.35 Mn |
| Mar 31, 2025 | 5.25 Mn |
| Dec 31, 2024 | 5.46 Mn |
| Sep 30, 2024 | 5.12 Mn |
| Jun 30, 2024 | 5.12 Mn |
| Mar 31, 2024 | 5.03 Mn |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | 408,000.00 |
| Jun 30, 2023 | 411,000.00 |
| Mar 31, 2023 | 408,000.00 |
| Dec 31, 2022 | 270,000.00 |
| Sep 30, 2022 | 329,000.00 |
| Jun 30, 2022 | 271,000.00 |
| Mar 31, 2022 | 292,000.00 |
| Dec 31, 2021 | 2.88 Mn |
| Sep 30, 2021 | 2.86 Mn |
API Access
Repligen Interest Expenses 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=interest-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();