Repligen (RGEN) Operating Expenses (2009 - 2026)
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Analysis
Repligen (RGEN) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 1.43 Bn |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 Mn | 238.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 238.86 Mn |
| Jun 30, 2026 | 190.15 Mn |
| Mar 31, 2026 | 178.32 Mn |
| Dec 31, 2025 | 180.05 Mn |
| Sep 30, 2025 | 171.98 Mn |
| Jun 30, 2025 | 168.47 Mn |
| Mar 31, 2025 | 162.59 Mn |
| Dec 31, 2024 | 204.05 Mn |
| Sep 30, 2024 | 162.70 Mn |
| Jun 30, 2024 | 153.37 Mn |
| Mar 31, 2024 | 149.43 Mn |
| Dec 31, 2023 | 156.75 Mn |
| Sep 30, 2023 | 136.50 Mn |
| Jun 30, 2023 | 139.89 Mn |
| Mar 31, 2023 | 151.52 Mn |
| Dec 31, 2022 | 137.93 Mn |
| Sep 30, 2022 | 148.08 Mn |
| Jun 30, 2022 | 144.47 Mn |
| Mar 31, 2022 | 146.40 Mn |
| Dec 31, 2021 | 149.09 Mn |
API Access
Repligen Operating 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=operating-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();