Repligen (RGEN) EBITDA (2010 - 2026)
Repligen's EBITDA came in at $33.04 million for Q2 2026, down 2.8% from $33.98 million a year earlier and down 7.5% from the prior quarter.
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Analysis
Repligen (RGEN) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Repligen reported EBITDA of $143.39 million, up 182.7% year-over-year; for FY2025, it was $133.91 million, up 287.5% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, EBITDA was $34.56 million in FY2024 (-70.3%), $116.26 million in FY2023 (-57.8%), $275.66 million in FY2022 (+34.0%) and $205.7 million in FY2021 (+112.3%).
- The Q2 2026 figure represents the lowest quarterly EBITDA since Q1 2025.
- Year-over-year, EBITDA increased in four of the last six quarters, with growth averaging 55.9%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2025 (growth of 284.1%), and the weakest in Q3 2023 (a decline of 62.5%).
- Business Quant data shows RGEN's EBITDA at $35.7 million (Q1 2026), $37.82 million (Q4 2025) and $36.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Repligen | 10.16 Bn | 7.05 Bn | 110.04 Mn | 37.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.50 Mn |
| Mar 31, 2026 | 40.07 Mn |
| Dec 31, 2025 | 42.11 Mn |
| Sep 30, 2025 | 41.04 Mn |
| Jun 30, 2025 | 38.10 Mn |
| Mar 31, 2025 | 29.32 Mn |
| Dec 31, 2024 | -14.17 Mn |
| Sep 30, 2024 | 13.49 Mn |
| Jun 30, 2024 | 26.36 Mn |
| Mar 31, 2024 | 24.47 Mn |
| Dec 31, 2023 | 28.21 Mn |
| Sep 30, 2023 | 24.97 Mn |
| Jun 30, 2023 | 35.84 Mn |
| Mar 31, 2023 | 29.69 Mn |
| Dec 31, 2022 | 63.67 Mn |
| Sep 30, 2022 | 65.79 Mn |
| Jun 30, 2022 | 75.72 Mn |
| Mar 31, 2022 | 72.29 Mn |
| Dec 31, 2021 | 51.39 Mn |
| Sep 30, 2021 | 58.11 Mn |
API Access
Repligen EBITDA 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=ebitda&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();