Qiagen (QGEN) Depreciation & Amortization (CF) (2009 - 2026)
Qiagen (QGEN) reported Depreciation & Amortization (CF) of $50.56 million for Q2 2026, up 2.2% from $49.48 million a year earlier but down 1.3% from the prior quarter.
Qiagen (QGEN) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qiagen's Depreciation & Amortization (CF) came in at $202.13 million, up 7.0% year-over-year; for FY2025, it came in at $193.75 million, down 4.7% from FY2024.
- Depreciation & Amortization (CF) has declined for four consecutive years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $203.27 million in FY2024 (-1.0%), $205.34 million in FY2023 (-1.5%), $208.4 million in FY2022 (-3.0%) and $214.93 million in FY2021 (+4.8%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $43.91 million in Q1 2025 and a high of $54.67 million in Q4 2022.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last four quarters, with an average decline of 1.3% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q1 2026 (growth of 16.6%); the low point was Q1 2025 (a decline of 19.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.21 million (Q1 2026), $49.39 million (Q4 2025) and $50.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 361.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 44.90 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Qiagen | 10.94 Bn | 6.71 Bn | 340.39 Mn | 50.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.56 Mn |
| Mar 31, 2026 | 51.21 Mn |
| Dec 31, 2025 | 49.39 Mn |
| Sep 30, 2025 | 50.97 Mn |
| Jun 30, 2025 | 49.48 Mn |
| Mar 31, 2025 | 43.91 Mn |
| Dec 31, 2024 | 45.55 Mn |
| Sep 30, 2024 | 49.99 Mn |
| Jun 30, 2024 | 53.39 Mn |
| Mar 31, 2024 | 54.33 Mn |
| Dec 31, 2023 | 51.57 Mn |
| Sep 30, 2023 | 50.57 Mn |
| Jun 30, 2023 | 51.14 Mn |
| Mar 31, 2023 | 52.06 Mn |
| Dec 31, 2022 | 54.67 Mn |
| Sep 30, 2022 | 50.32 Mn |
| Jun 30, 2022 | 50.41 Mn |
| Mar 31, 2022 | 53.00 Mn |
| Dec 31, 2021 | 51.10 Mn |
| Sep 30, 2021 | 53.16 Mn |
Qiagen 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=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "QGEN", "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=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();