Qiagen (QGEN) Depreciation & Amortization - Total (2015 - 2018)
Qiagen's Depreciation & Amortization - Total came in at $95.8 million for the year ended Dec 31, 2025, up 4.7% from $91.5 million a year earlier.
Qiagen (QGEN) Depreciation & Amortization - Total (2015 - 2018) Analysis & Trends
Going back to the year ended Dec 31, 2015, Qiagen's Depreciation & Amortization - Total data covers 11 years.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of 4.0% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Depreciation & Amortization - Total in data going back to the year ended Dec 31, 2015.
- Per Business Quant, earlier years put Depreciation & Amortization - Total at $91.5 million in the year ended Dec 31, 2024 (+6.9%), $85.6 million in the year ended Dec 31, 2023 (-4.4%), $89.5 million in the year ended Dec 31, 2022 (+4.8%) and $85.4 million in the year ended Dec 31, 2021 (+8.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | - |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -109.80 Mn |
| Dec 31, 2017 | -90.10 Mn |
| Dec 31, 2016 | -74.50 Mn |
| Dec 31, 2015 | -97.80 Mn |
Qiagen Depreciation & Amortization - Total 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-total&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-total&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();