Repligen (RGEN) Capital Expenditures (2009 - 2026)
Repligen's Capital Expenditures was $4.95 million in Q3 2026, up 5.2% from $4.7 million a year earlier but down 7.2% from the prior quarter.
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Analysis
Repligen (RGEN) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Repligen's Capital Expenditures was $23.15 million through Sep 30, 2026, up 10.7% year-over-year; for FY2025, it came in at $23.52 million, down 8.4% from FY2024.
- Capital Expenditures has now declined for three consecutive years, though with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $25.68 million in FY2024 (-29.1%), $36.22 million in FY2023 (-57.3%), $84.83 million in FY2022 (+26.4%) and $67.09 million in FY2021 (+198.8%).
- Quarterly Capital Expenditures has moved between $3.56 million (Q1 2025) and $32.12 million (Q4 2021) over five years.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with an average decline of 4.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2022 (growth of 258.7%); the worst was Q1 2023 (a decline of 68.7%).
- Per Business Quant data, RGEN's Capital Expenditures in the three quarters before Q3 2026 was $5.33 million (Q2 2026), $4.71 million (Q1 2026) and $8.15 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 141.00 Mn |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 Mn | 4.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.95 Mn |
| Jun 30, 2026 | 5.33 Mn |
| Mar 31, 2026 | 4.71 Mn |
| Dec 31, 2025 | 8.15 Mn |
| Sep 30, 2025 | 4.70 Mn |
| Jun 30, 2025 | 7.10 Mn |
| Mar 31, 2025 | 3.56 Mn |
| Dec 31, 2024 | 5.54 Mn |
| Sep 30, 2024 | 6.98 Mn |
| Jun 30, 2024 | 4.81 Mn |
| Mar 31, 2024 | 8.35 Mn |
| Dec 31, 2023 | 11.09 Mn |
| Sep 30, 2023 | 8.39 Mn |
| Jun 30, 2023 | 8.24 Mn |
| Mar 31, 2023 | 8.51 Mn |
| Dec 31, 2022 | 20.44 Mn |
| Sep 30, 2022 | 11.81 Mn |
| Jun 30, 2022 | 25.37 Mn |
| Mar 31, 2022 | 27.20 Mn |
| Dec 31, 2021 | 32.12 Mn |
API Access
Repligen Capital Expenditures 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=capital-expenditures&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();