Donaldson (DCI) Property, Plant & Equipment (Net) (2009 - 2026)
Donaldson (DCI) reported Property, Plant & Equipment (Net) of $633.3 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 1.7% from $644.5 million a year earlier and down 0.6% from the prior quarter.
Donaldson (DCI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Donaldson's Property, Plant & Equipment (Net) record includes 66 quarters.
- Property, Plant & Equipment (Net) has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $644.5 million in FY2025 (-0.2%), $645.5 million in FY2024 (-1.1%), $652.9 million in FY2023 (+9.8%) and $594.4 million in FY2022 (-3.8%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2023.
- Year over year, Property, Plant & Equipment (Net) gained in three of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q4 2023 (growth of 9.8%); the low point was fiscal Q3 2022 (a decline of 5.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $637.2 million (Q3 2026), $645.3 million (Q2 2026) and $638.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Donaldson | 10.28 Bn | 9.42 Bn | 383.90 Mn | 633.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 633.30 Mn |
| Apr 30, 2026 | 637.20 Mn |
| Jan 31, 2026 | 645.30 Mn |
| Oct 31, 2025 | 638.90 Mn |
| Jul 31, 2025 | 644.50 Mn |
| Apr 30, 2025 | 648.30 Mn |
| Jan 31, 2025 | 637.80 Mn |
| Oct 31, 2024 | 647.40 Mn |
| Jul 31, 2024 | 645.50 Mn |
| Apr 30, 2024 | 642.80 Mn |
| Jan 31, 2024 | 647.00 Mn |
| Oct 31, 2023 | 642.30 Mn |
| Jul 31, 2023 | 652.90 Mn |
| Apr 30, 2023 | 640.90 Mn |
| Jan 31, 2023 | 625.80 Mn |
| Oct 31, 2022 | 590.80 Mn |
| Jul 31, 2022 | 594.40 Mn |
| Apr 30, 2022 | 591.10 Mn |
| Jan 31, 2022 | 601.00 Mn |
| Oct 31, 2021 | 609.70 Mn |
Donaldson 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=DCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DCI", "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=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();