Repligen (RGEN) Prepaid Assets (2011 - 2026)
Repligen (RGEN) reported Prepaid Assets of $45.79 million for Q2 2026, up 30.1% from $35.2 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Repligen (RGEN) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen posted Prepaid Assets of $40.71 million, up 28.8% from FY2024.
- Prepaid Assets has a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- By year, Prepaid Assets came in at $31.61 million in FY2024 (-5.8%), $33.54 million in FY2023 (+69.1%), $19.84 million in FY2022 (-23.6%) and $25.95 million in FY2021 (+38.9%).
- Five-year quarterly Prepaid Assets spans a low of $11.55 million in Q3 2021 and a high of $46.02 million in Q1 2026.
- Year over year, Prepaid Assets has now increased in each of the last five quarters, with growth averaging 13.6% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was Q2 2023 (growth of 81.7%); the low point was Q4 2022 (a decline of 23.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $46.02 million (Q1 2026), $40.71 million (Q4 2025) and $38.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Repligen | 10.16 Bn | 7.05 Bn | 110.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.79 Mn |
| Mar 31, 2026 | 46.02 Mn |
| Dec 31, 2025 | 40.71 Mn |
| Sep 30, 2025 | 38.45 Mn |
| Jun 30, 2025 | 35.20 Mn |
| Mar 31, 2025 | 34.71 Mn |
| Dec 31, 2024 | 31.61 Mn |
| Sep 30, 2024 | 36.12 Mn |
| Jun 30, 2024 | 32.83 Mn |
| Mar 31, 2024 | 35.66 Mn |
| Dec 31, 2023 | 33.54 Mn |
| Sep 30, 2023 | 32.16 Mn |
| Jun 30, 2023 | 35.10 Mn |
| Mar 31, 2023 | 25.47 Mn |
| Dec 31, 2022 | 19.84 Mn |
| Sep 30, 2022 | 19.53 Mn |
| Jun 30, 2022 | 19.32 Mn |
| Mar 31, 2022 | 23.94 Mn |
| Dec 31, 2021 | 25.95 Mn |
| Sep 30, 2021 | 11.55 Mn |
API Access
Repligen Prepaid Assets 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=prepaid-assets&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();