Repligen (RGEN) Revenue (2010 - 2026)
Repligen (RGEN) reported Revenue of $204.13 million for Q2 2026, up 11.9% from $182.37 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Repligen (RGEN) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Repligen's Revenue came in at $785.1 million, up 16.5% year-over-year; for FY2025, it came in at $738.26 million, up 16.4% from FY2024.
- Revenue has a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- By year, Revenue came in at $634.44 million in FY2024 (+0.3%), $632.36 million in FY2023 (-21.1%), $801.54 million in FY2022 (+19.5%) and $670.53 million in FY2021 (+83.1%).
- The Q2 2026 figure ranks as the highest quarterly Revenue since Q2 2022.
- Year over year, Revenue has now increased in each of the last eight quarters, with growth averaging 12.8% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2021 (growth of 89.5%); the low point was Q3 2023 (a decline of 29.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $194.26 million (Q1 2026), $197.91 million (Q4 2025) and $188.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Repligen | 10.16 Bn | 7.05 Bn | 110.04 Mn | 204.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.13 Mn |
| Mar 31, 2026 | 194.26 Mn |
| Dec 31, 2025 | 197.91 Mn |
| Sep 30, 2025 | 188.81 Mn |
| Jun 30, 2025 | 182.37 Mn |
| Mar 31, 2025 | 169.17 Mn |
| Dec 31, 2024 | 167.55 Mn |
| Sep 30, 2024 | 154.87 Mn |
| Jun 30, 2024 | 158.84 Mn |
| Mar 31, 2024 | 153.18 Mn |
| Dec 31, 2023 | 166.62 Mn |
| Sep 30, 2023 | 141.19 Mn |
| Jun 30, 2023 | 159.17 Mn |
| Mar 31, 2023 | 165.38 Mn |
| Dec 31, 2022 | 186.76 Mn |
| Sep 30, 2022 | 200.74 Mn |
| Jun 30, 2022 | 207.63 Mn |
| Mar 31, 2022 | 206.40 Mn |
| Dec 31, 2021 | 186.52 Mn |
| Sep 30, 2021 | 178.22 Mn |
API Access
Repligen Revenue 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=revenue&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();