Repligen (RGEN) Consolidated Net Income (2010 - 2026)
Repligen's Consolidated Net Income came in at $5.01 million for Q2 2026, down 66.3% from $14.87 million a year earlier and down 40.2% from the prior quarter.
Repligen (RGEN) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Repligen reported Consolidated Net Income of $41.62 million; for FY2025, it was $48.89 million.
- Consolidated Net Income carries a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- Going back by year, Consolidated Net Income was -$25.51 million in FY2024, $35.6 million in FY2023 (-80.9%), $185.96 million in FY2022 (+45.0%) and $128.29 million in FY2021 (+114.1%).
- The Q2 2026 figure represents the lowest quarterly Consolidated Net Income since Q4 2024.
- Year-over-year, Consolidated Net Income increased in three of the last four quarters, with growth averaging 53.6%.
- The fastest year-over-year change in Consolidated Net Income over five years came in Q2 2025 (growth of 160.2%), and the weakest in Q1 2024 (a decline of 78.5%).
- Business Quant data shows RGEN's Consolidated Net Income at $8.37 million (Q1 2026), $13.32 million (Q4 2025) and $14.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 524.40 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 377.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 241.40 Mn |
| 10 | Repligen | 9.94 Bn | 6.83 Bn | 110.04 Mn | 5.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.01 Mn |
| Mar 31, 2026 | 8.37 Mn |
| Dec 31, 2025 | 13.32 Mn |
| Sep 30, 2025 | 14.91 Mn |
| Jun 30, 2025 | 14.87 Mn |
| Mar 31, 2025 | 5.83 Mn |
| Dec 31, 2024 | -33.87 Mn |
| Sep 30, 2024 | -654,000.00 |
| Jun 30, 2024 | 5.71 Mn |
| Mar 31, 2024 | 3.30 Mn |
| Dec 31, 2023 | -16.45 Mn |
| Sep 30, 2023 | 16.92 Mn |
| Jun 30, 2023 | 19.79 Mn |
| Mar 31, 2023 | 15.34 Mn |
| Dec 31, 2022 | 48.73 Mn |
| Sep 30, 2022 | 40.41 Mn |
| Jun 30, 2022 | 49.86 Mn |
| Mar 31, 2022 | 46.93 Mn |
| Dec 31, 2021 | 29.11 Mn |
| Sep 30, 2021 | 33.50 Mn |
Repligen Consolidated Net Income 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=consolidated-net-income&ticker=RGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();