Repligen (RGEN) Cash from Operations (2010 - 2026)
Repligen's Cash from Operations came in at $32.77 million for Q2 2026, up 14.5% from $28.61 million a year earlier and up 15.8% from the prior quarter.
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Analysis
Repligen (RGEN) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Repligen reported Cash from Operations of $134.86 million, up 2.1% year-over-year; for FY2025, it came in at $117.42 million, down 33.1% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $175.39 million in FY2024 (+54.0%), $113.92 million in FY2023 (-33.8%), $172.08 million in FY2022 (+44.6%) and $119.02 million in FY2021 (+90.0%).
- The five-year range for quarterly Cash from Operations is $11.15 million (Q1 2023) to $61.88 million (Q4 2022).
- Year-over-year, Cash from Operations increased in four of the last eight quarters, with growth averaging 3.5%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2024 (growth of 300.8%), and the weakest in Q1 2025 (a decline of 66.4%).
- Business Quant data shows RGEN's Cash from Operations at $28.3 million (Q1 2026), $25.7 million (Q4 2025) and $48.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | 1.22 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 776.00 Mn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 651.90 Mn |
| 10 | Repligen | 9.99 Bn | 6.88 Bn | 110.04 Mn | 32.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.77 Mn |
| Mar 31, 2026 | 28.30 Mn |
| Dec 31, 2025 | 25.70 Mn |
| Sep 30, 2025 | 48.10 Mn |
| Jun 30, 2025 | 28.61 Mn |
| Mar 31, 2025 | 15.01 Mn |
| Dec 31, 2024 | 39.18 Mn |
| Sep 30, 2024 | 49.32 Mn |
| Jun 30, 2024 | 42.19 Mn |
| Mar 31, 2024 | 44.71 Mn |
| Dec 31, 2023 | 29.07 Mn |
| Sep 30, 2023 | 39.23 Mn |
| Jun 30, 2023 | 34.47 Mn |
| Mar 31, 2023 | 11.15 Mn |
| Dec 31, 2022 | 61.88 Mn |
| Sep 30, 2022 | 41.37 Mn |
| Jun 30, 2022 | 45.72 Mn |
| Mar 31, 2022 | 23.11 Mn |
| Dec 31, 2021 | 49.62 Mn |
| Sep 30, 2021 | 22.48 Mn |
API Access
Repligen Cash from Operations 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-from-operations&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();