Qiagen (QGEN) Change in Property, Plant and Equipment (2009 - 2026)
Qiagen's Change in Property, Plant and Equipment was $42.93 million in Q2 2026, up 7.3% from $40 million a year earlier but down 8.4% from the prior quarter.
Qiagen (QGEN) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Qiagen's Change in Property, Plant and Equipment was $336.86 million through Jun 30, 2026, up 14.3% year-over-year; for FY2025, it came in at -$201.05 million.
- In earlier years, Change in Property, Plant and Equipment was -$167.17 million in FY2024, -$149.71 million in FY2023, -$129.22 million in FY2022 and -$189.9 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has moved between $24.92 million (Q3 2022) and $201 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Property, Plant and Equipment has increased for ten straight quarters, with growth averaging 38.5% over the last eight quarters.
- The best year-over-year quarter for Change in Property, Plant and Equipment over five years was Q4 2024 (growth of 221.2%); the worst was Q4 2023 (a decline of 59.7%).
- Per Business Quant data, QGEN's Change in Property, Plant and Equipment in the three quarters before Q2 2026 was $46.88 million (Q1 2026), $201 million (Q4 2025) and $46.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | -436.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | -513.00 Mn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | -254.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | -113.10 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | -503.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | -237.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | -180.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | -63.60 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | -143.00 Mn |
| 10 | Qiagen | 10.94 Bn | 6.71 Bn | 340.39 Mn | 42.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.93 Mn |
| Mar 31, 2026 | 46.88 Mn |
| Dec 31, 2025 | 201.00 Mn |
| Sep 30, 2025 | 46.05 Mn |
| Jun 30, 2025 | 40.00 Mn |
| Mar 31, 2025 | 43.90 Mn |
| Dec 31, 2024 | 167.00 Mn |
| Sep 30, 2024 | 43.71 Mn |
| Jun 30, 2024 | 38.00 Mn |
| Mar 31, 2024 | 36.54 Mn |
| Dec 31, 2023 | 52.00 Mn |
| Sep 30, 2023 | 35.94 Mn |
| Jun 30, 2023 | 29.10 Mn |
| Mar 31, 2023 | 33.22 Mn |
| Dec 31, 2022 | 129.00 Mn |
| Sep 30, 2022 | 24.92 Mn |
| Jun 30, 2022 | 32.03 Mn |
| Mar 31, 2022 | 29.33 Mn |
| Dec 31, 2021 | 190.00 Mn |
| Sep 30, 2021 | 48.17 Mn |
Qiagen Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();