Repligen (RGEN) Cash & Equivalents (2010 - 2026)
Repligen (RGEN) reported Cash & Equivalents of $606.78 million for Q2 2026, down 14.4% from $708.86 million a year earlier but up 4.1% from the prior quarter.
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Analysis
Repligen (RGEN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Repligen posted Cash & Equivalents of $566.02 million, down 25.3% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $757.36 million in FY2024 (+0.8%), $751.32 million in FY2023 (+43.5%), $523.46 million in FY2022 (-13.3%) and $603.81 million in FY2021 (-15.8%).
- Five-year quarterly Cash & Equivalents spans a low of $516.61 million in Q1 2023 and a high of $809.15 million in Q2 2024.
- Year over year, Cash & Equivalents has now declined in each of the last six quarters, with an average decline of 7.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2024 (growth of 51.1%); the low point was Q4 2025 (a decline of 25.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $582.65 million (Q1 2026), $566.02 million (Q4 2025) and $748.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.90 Bn | 226.93 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 177.82 Bn | 148.25 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 159.93 Bn | 143.73 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 157.61 Bn | 137.90 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 122.23 Bn | 87.48 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.55 Bn | 103.66 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.56 Bn | 61.33 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.48 Bn | 35.49 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Repligen | 9.99 Bn | 6.88 Bn | 110.04 Mn | 606.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 606.78 Mn |
| Mar 31, 2026 | 582.65 Mn |
| Dec 31, 2025 | 566.02 Mn |
| Sep 30, 2025 | 748.75 Mn |
| Jun 30, 2025 | 708.86 Mn |
| Mar 31, 2025 | 697.23 Mn |
| Dec 31, 2024 | 757.36 Mn |
| Sep 30, 2024 | 783.96 Mn |
| Jun 30, 2024 | 809.15 Mn |
| Mar 31, 2024 | 780.62 Mn |
| Dec 31, 2023 | 751.32 Mn |
| Sep 30, 2023 | 630.78 Mn |
| Jun 30, 2023 | 603.66 Mn |
| Mar 31, 2023 | 516.61 Mn |
| Dec 31, 2022 | 523.46 Mn |
| Sep 30, 2022 | 573.36 Mn |
| Jun 30, 2022 | 596.51 Mn |
| Mar 31, 2022 | 584.64 Mn |
| Dec 31, 2021 | 603.81 Mn |
| Sep 30, 2021 | 621.10 Mn |
API Access
Repligen Cash & Equivalents 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=cash-and-equivalents&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();