Repligen (RGEN) Depreciation & Amortization (CF) (2010 - 2026)
Repligen's Depreciation & Amortization (CF) was $19.06 million in Q2 2026, down 5.1% from $20.08 million a year earlier and down 3.5% from the prior quarter.
Repligen (RGEN) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Repligen's Depreciation & Amortization (CF) was $78.78 million through Jun 30, 2026, up 5.6% year-over-year; for FY2025, it was $78.75 million, up 13.0% from FY2024.
- Depreciation & Amortization (CF) has now increased for 12 consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $69.67 million in FY2024 (+1.6%), $68.56 million in FY2023 (+34.5%), $50.99 million in FY2022 (+32.6%) and $38.45 million in FY2021 (+42.0%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q1 2025.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in six of the last eight quarters, with growth averaging 5.9%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q3 2023 (growth of 56.4%); the worst was Q3 2024 (a decline of 12.1%).
- Per Business Quant data, RGEN's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $19.76 million (Q1 2026), $19.95 million (Q4 2025) and $20.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 42.70 Mn |
| 10 | Repligen | 10.08 Bn | 6.97 Bn | 110.04 Mn | 19.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.06 Mn |
| Mar 31, 2026 | 19.76 Mn |
| Dec 31, 2025 | 19.95 Mn |
| Sep 30, 2025 | 20.01 Mn |
| Jun 30, 2025 | 20.08 Mn |
| Mar 31, 2025 | 18.70 Mn |
| Dec 31, 2024 | 18.37 Mn |
| Sep 30, 2024 | 17.42 Mn |
| Jun 30, 2024 | 16.98 Mn |
| Mar 31, 2024 | 16.91 Mn |
| Dec 31, 2023 | 17.26 Mn |
| Sep 30, 2023 | 19.82 Mn |
| Jun 30, 2023 | 16.10 Mn |
| Mar 31, 2023 | 15.37 Mn |
| Dec 31, 2022 | 14.38 Mn |
| Sep 30, 2022 | 12.67 Mn |
| Jun 30, 2022 | 12.10 Mn |
| Mar 31, 2022 | 11.83 Mn |
| Dec 31, 2021 | 11.02 Mn |
| Sep 30, 2021 | 10.01 Mn |
Repligen Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=RGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();