Repligen (RGEN) Retained Earnings (2011 - 2026)
Repligen's Retained Earnings came in at $469.59 million for Q2 2026, up 9.7% from $428.05 million a year earlier and up 1.1% from the prior quarter.
Powered by 
Analysis
Repligen (RGEN) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen's Retained Earnings was $456.25 million, up 12.0% from FY2024.
- Retained Earnings carries a five-year compound annual growth rate of 47.3% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $407.35 million in FY2024 (-5.9%), $432.87 million in FY2023 (+9.0%), $397.27 million in FY2022 (+104.7%) and $194.06 million in FY2021 (+195.1%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2011.
- Year-over-year, Retained Earnings has increased for four consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q3 2021 (growth of 258.0%), and the weakest in Q4 2024 (a decline of 5.9%).
- Business Quant data shows RGEN's Retained Earnings at $464.58 million (Q1 2026), $456.25 million (Q4 2025) and $442.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 14.86 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Repligen | 10.85 Bn | 7.74 Bn | 110.04 Mn | 469.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 469.59 Mn |
| Mar 31, 2026 | 464.58 Mn |
| Dec 31, 2025 | 456.25 Mn |
| Sep 30, 2025 | 442.96 Mn |
| Jun 30, 2025 | 428.05 Mn |
| Mar 31, 2025 | 413.18 Mn |
| Dec 31, 2024 | 407.35 Mn |
| Sep 30, 2024 | 441.22 Mn |
| Jun 30, 2024 | 441.88 Mn |
| Mar 31, 2024 | 436.16 Mn |
| Dec 31, 2023 | 432.87 Mn |
| Sep 30, 2023 | 449.32 Mn |
| Jun 30, 2023 | 432.40 Mn |
| Mar 31, 2023 | 412.61 Mn |
| Dec 31, 2022 | 397.27 Mn |
| Sep 30, 2022 | 348.54 Mn |
| Jun 30, 2022 | 308.14 Mn |
| Mar 31, 2022 | 258.28 Mn |
| Dec 31, 2021 | 194.06 Mn |
| Sep 30, 2021 | 164.95 Mn |
API Access
Repligen Retained Earnings 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=retained-earnings&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();