Qiagen (QGEN) Property, Plant & Equipment (Net) (2009 - 2026)
Qiagen (QGEN) recorded Property, Plant & Equipment (Net) of $923.04 million in Q2 2026, up 5.5% from $874.95 million a year earlier and up 0.9% from the prior quarter.
Qiagen (QGEN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Qiagen reported Property, Plant & Equipment (Net) of $923.95 million, up 22.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $753.61 million in FY2024 (-1.5%), $765.04 million in FY2023 (+15.5%), $662.17 million in FY2022 (+3.8%) and $638.18 million in FY2021 (+14.1%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $590.98 million in Q3 2022 to $923.95 million in Q4 2025 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 22.6% in Q4 2025, against a decline of 3.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $914.79 million (Q1 2026), $923.95 million (Q4 2025) and $897.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Qiagen | 10.94 Bn | 6.71 Bn | 340.39 Mn | 923.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 923.04 Mn |
| Mar 31, 2026 | 914.79 Mn |
| Dec 31, 2025 | 923.95 Mn |
| Sep 30, 2025 | 897.64 Mn |
| Jun 30, 2025 | 874.95 Mn |
| Mar 31, 2025 | 803.66 Mn |
| Dec 31, 2024 | 753.61 Mn |
| Sep 30, 2024 | 759.93 Mn |
| Jun 30, 2024 | 717.77 Mn |
| Mar 31, 2024 | 762.53 Mn |
| Dec 31, 2023 | 765.04 Mn |
| Sep 30, 2023 | 706.02 Mn |
| Jun 30, 2023 | 706.84 Mn |
| Mar 31, 2023 | 691.06 Mn |
| Dec 31, 2022 | 662.17 Mn |
| Sep 30, 2022 | 590.98 Mn |
| Jun 30, 2022 | 619.19 Mn |
| Mar 31, 2022 | 638.23 Mn |
| Dec 31, 2021 | 638.18 Mn |
| Sep 30, 2021 | 612.11 Mn |
Qiagen Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();