Repligen (RGEN) Operating Leases (2019 - 2026)
Repligen's Operating Leases came in at $120.58 million for Q2 2026, down 11.5% from $136.3 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Repligen (RGEN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Repligen's Operating Leases was $126.18 million, down 13.3% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 36.7% (FY2020 to FY2025).
- Going back by year, Operating Leases was $145.58 million in FY2024 (+15.0%), $126.58 million in FY2023 (-3.7%), $131.39 million in FY2022 (+28.2%) and $102.49 million in FY2021 (+287.9%).
- The five-year range for quarterly Operating Leases is $55.91 million (Q3 2021) to $145.58 million (Q4 2024).
- Year-over-year, Operating Leases has declined for six consecutive quarters, with an average decline of 3.9% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q4 2021 (growth of 287.9%), and the weakest in Q1 2026 (a decline of 13.7%).
- Business Quant data shows RGEN's Operating Leases at $119.96 million (Q1 2026), $126.18 million (Q4 2025) and $131.63 million (Q3 2025) in the three quarters before Q2 2026.
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 | 120.58 Mn |
| Mar 31, 2026 | 119.96 Mn |
| Dec 31, 2025 | 126.18 Mn |
| Sep 30, 2025 | 131.63 Mn |
| Jun 30, 2025 | 136.30 Mn |
| Mar 31, 2025 | 138.94 Mn |
| Dec 31, 2024 | 145.58 Mn |
| Sep 30, 2024 | 138.69 Mn |
| Jun 30, 2024 | 143.52 Mn |
| Mar 31, 2024 | 144.55 Mn |
| Dec 31, 2023 | 126.58 Mn |
| Sep 30, 2023 | 130.62 Mn |
| Jun 30, 2023 | 134.44 Mn |
| Mar 31, 2023 | 127.67 Mn |
| Dec 31, 2022 | 131.39 Mn |
| Sep 30, 2022 | 121.19 Mn |
| Jun 30, 2022 | 121.27 Mn |
| Mar 31, 2022 | 100.44 Mn |
| Dec 31, 2021 | 102.49 Mn |
| Sep 30, 2021 | 55.91 Mn |
API Access
Repligen Operating Leases 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=operating-leases&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();