Repligen (RGEN) Property, Plant & Equipment (Net) (2011 - 2026)
Repligen (RGEN) posted Property, Plant & Equipment (Net) of $167.51 million for Q2 2026, down 13.4% from $193.49 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Repligen (RGEN) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen's Property, Plant & Equipment (Net) came in at $186.61 million, down 5.6% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- In prior years, Repligen's Property, Plant & Equipment (Net) was $197.74 million in FY2024 (-4.7%), $207.44 million in FY2023 (+8.8%), $190.67 million in FY2022 (+52.6%) and $124.96 million in FY2021 (+86.9%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2022.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last seven quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 104.3%; the weakest was Q2 2026, with a decline of 13.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $173.46 million (Q1 2026), $186.61 million (Q4 2025) and $188.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Repligen | 9.94 Bn | 6.83 Bn | 110.04 Mn | 167.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.51 Mn |
| Mar 31, 2026 | 173.46 Mn |
| Dec 31, 2025 | 186.61 Mn |
| Sep 30, 2025 | 188.93 Mn |
| Jun 30, 2025 | 193.49 Mn |
| Mar 31, 2025 | 195.52 Mn |
| Dec 31, 2024 | 197.74 Mn |
| Sep 30, 2024 | 202.58 Mn |
| Jun 30, 2024 | 204.60 Mn |
| Mar 31, 2024 | 205.72 Mn |
| Dec 31, 2023 | 207.44 Mn |
| Sep 30, 2023 | 201.62 Mn |
| Jun 30, 2023 | 202.56 Mn |
| Mar 31, 2023 | 192.69 Mn |
| Dec 31, 2022 | 190.67 Mn |
| Sep 30, 2022 | 174.26 Mn |
| Jun 30, 2022 | 168.37 Mn |
| Mar 31, 2022 | 147.63 Mn |
| Dec 31, 2021 | 124.96 Mn |
| Sep 30, 2021 | 99.65 Mn |
API Access
Repligen Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();