Donaldson (DCI) EBITDA (2009 - 2026)
Donaldson (DCI) recorded EBITDA of $209.6 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 19.0% from $176.1 million a year earlier and up 16.8% from the prior quarter.
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Analysis
Donaldson (DCI) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Donaldson reported EBITDA of $705.9 million, up 18.7% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $594.9 million in FY2025 (-7.4%), $642.5 million in FY2024 (+12.2%), $572.5 million in FY2023 (+6.6%) and $537.3 million in FY2022 (+11.9%).
- The fiscal Q4 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 7.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 60.2% in fiscal Q3 2026, against a decline of 33.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $179.4 million (Q3 2026), $143.3 million (Q2 2026) and $173.6 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Donaldson | 10.13 Bn | 9.27 Bn | 383.90 Mn | 209.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 209.60 Mn |
| Apr 30, 2026 | 179.40 Mn |
| Jan 31, 2026 | 143.30 Mn |
| Oct 31, 2025 | 173.60 Mn |
| Jul 31, 2025 | 176.10 Mn |
| Apr 30, 2025 | 112.00 Mn |
| Jan 31, 2025 | 150.50 Mn |
| Oct 31, 2024 | 156.30 Mn |
| Jul 31, 2024 | 171.10 Mn |
| Apr 30, 2024 | 168.20 Mn |
| Jan 31, 2024 | 154.30 Mn |
| Oct 31, 2023 | 148.90 Mn |
| Jul 31, 2023 | 145.60 Mn |
| Apr 30, 2023 | 146.50 Mn |
| Jan 31, 2023 | 138.70 Mn |
| Oct 31, 2022 | 141.70 Mn |
| Jul 31, 2022 | 152.10 Mn |
| Apr 30, 2022 | 134.50 Mn |
| Jan 31, 2022 | 119.40 Mn |
| Oct 31, 2021 | 131.30 Mn |
API Access
Donaldson EBITDA 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=ebitda&ticker=DCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();