Donaldson (DCI) Cost of Revenue (2009 - 2026)
Donaldson (DCI) reported Cost of Revenue of $674.9 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 5.1% from $641.9 million a year earlier and up 2.0% from the prior quarter.
Donaldson (DCI) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Donaldson posted Cost of Revenue of $2.54 billion, up 5.6% from FY2025.
- Cost of Revenue has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $2.4 billion in FY2025 (+4.0%), $2.31 billion in FY2024 (+1.8%), $2.27 billion in FY2023 (+1.4%) and $2.24 billion in FY2022 (+19.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2010.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2022 (growth of 21.8%); the low point was fiscal Q4 2023 (a decline of 3.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $661.7 million (Q3 2026), $596.5 million (Q2 2026) and $606.6 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Donaldson | 10.28 Bn | 9.42 Bn | 383.90 Mn | 674.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 674.90 Mn |
| Apr 30, 2026 | 661.70 Mn |
| Jan 31, 2026 | 596.50 Mn |
| Oct 31, 2025 | 606.60 Mn |
| Jul 31, 2025 | 641.90 Mn |
| Apr 30, 2025 | 618.20 Mn |
| Jan 31, 2025 | 564.10 Mn |
| Oct 31, 2024 | 580.50 Mn |
| Jul 31, 2024 | 600.60 Mn |
| Apr 30, 2024 | 597.80 Mn |
| Jan 31, 2024 | 568.10 Mn |
| Oct 31, 2023 | 545.40 Mn |
| Jul 31, 2023 | 579.40 Mn |
| Apr 30, 2023 | 586.90 Mn |
| Jan 31, 2023 | 543.90 Mn |
| Oct 31, 2022 | 560.10 Mn |
| Jul 31, 2022 | 598.40 Mn |
| Apr 30, 2022 | 584.20 Mn |
| Jan 31, 2022 | 552.70 Mn |
| Oct 31, 2021 | 503.90 Mn |
Donaldson Cost of Revenue 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=cost-of-revenue&ticker=DCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();