Repligen (RGEN) Depreciation & Amortization (CF) (2009 - 2026)
Repligen's Depreciation & Amortization (CF) was $19.12 million in Q3 2026, down 4.4% from $20.01 million a year earlier but up 0.3% from the prior quarter.
Repligen (RGEN) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Repligen's Depreciation & Amortization (CF) was $77.9 million through Sep 30, 2026, up 1.0% 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%).
- Quarterly Depreciation & Amortization (CF) has moved between $11.02 million (Q4 2021) and $20.08 million (Q2 2025) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in six of the last eight quarters, with growth averaging 6.9%.
- 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 Q3 2026 was $19.06 million (Q2 2026), $19.76 million (Q1 2026) and $19.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 361.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 44.90 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 259.00 Mn |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 Mn | 19.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.12 Mn |
| 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 |
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();