Donaldson (DCI) Acquisitions (2017 - 2025)
Donaldson's Acquisitions came in at $822.6 million for FY2026 (year ended Jul 31, 2026), compared with $2.4 million in FY2025.
Analysis
Donaldson (DCI) Acquisitions (2017 - 2025) Analysis & Trends
Going back to FY2016, Donaldson's Acquisitions data covers 10 fiscal years.
- Acquisitions carries a four-year compound annual growth rate of 85.9% (FY2022 to FY2026).
- The FY2026 figure represents the highest annual Acquisitions in data going back to FY2016.
- Per Business Quant, earlier fiscal years put Acquisitions at $2.4 million in FY2025 (+20.0%), $2 million in FY2024 (-99.0%), $209.2 million in FY2023 (+203.6%) and $68.9 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 14.00 Mn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 92.20 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 16.00 Mn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | - |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | - |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | - |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 282.80 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Donaldson | 10.25 Bn | 9.39 Bn | 383.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2025 | 2.40 Mn |
| Jul 31, 2023 | 146.80 Mn |
| Apr 30, 2023 | 62.40 Mn |
| Jul 31, 2022 | 19.90 Mn |
| Jan 31, 2022 | 49.00 Mn |
| Jul 31, 2020 | 6.50 Mn |
| Oct 31, 2018 | 96.00 Mn |
| Oct 31, 2017 | -800,000.00 |
API Access
Donaldson Acquisitions 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=acquisitions&ticker=DCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();