Donaldson (DCI) Operating Expenses (2009 - 2026)
Donaldson's Operating Expenses came in at $207.3 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 10.8% from $187.1 million a year earlier and up 16.4% from the prior quarter.
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Analysis
Donaldson (DCI) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Donaldson's Operating Expenses was $746 million, down 5.7% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $790.8 million in FY2025 (+8.3%), $730.3 million in FY2024 (+7.3%), $680.4 million in FY2023 (+9.1%) and $623.9 million in FY2022 (+6.3%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses since fiscal Q3 2025.
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.9%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2025 (growth of 25.7%), and the weakest in fiscal Q3 2026 (a decline of 24.1%).
- Business Quant data shows DCI's Operating Expenses at $178.1 million (Q3 2026), $181.1 million (Q2 2026) and $179.5 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Donaldson | 10.13 Bn | 9.27 Bn | 383.90 Mn | 207.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 207.30 Mn |
| Apr 30, 2026 | 178.10 Mn |
| Jan 31, 2026 | 181.10 Mn |
| Oct 31, 2025 | 179.50 Mn |
| Jul 31, 2025 | 187.10 Mn |
| Apr 30, 2025 | 234.50 Mn |
| Jan 31, 2025 | 180.40 Mn |
| Oct 31, 2024 | 188.80 Mn |
| Jul 31, 2024 | 188.60 Mn |
| Apr 30, 2024 | 186.50 Mn |
| Jan 31, 2024 | 178.90 Mn |
| Oct 31, 2023 | 176.30 Mn |
| Jul 31, 2023 | 179.50 Mn |
| Apr 30, 2023 | 164.80 Mn |
| Jan 31, 2023 | 168.10 Mn |
| Oct 31, 2022 | 167.90 Mn |
| Jul 31, 2022 | 162.30 Mn |
| Apr 30, 2022 | 158.00 Mn |
| Jan 31, 2022 | 154.10 Mn |
| Oct 31, 2021 | 149.50 Mn |
API Access
Donaldson Operating Expenses 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=operating-expenses&ticker=DCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();