Donaldson (DCI) Receivables (2010 - 2026)
Donaldson's Receivables came in at $758.1 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 14.5% from $662.2 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Donaldson (DCI) Receivables (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Donaldson's Receivables data covers 65 quarters.
- Receivables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $662.2 million in FY2025 (+5.2%), $629.7 million in FY2024 (+5.0%), $599.7 million in FY2023 (-2.7%) and $616.6 million in FY2022 (+11.6%).
- The fiscal Q4 2026 figure represents the highest quarterly Receivables in data going back to fiscal Q4 2010.
- Year-over-year, Receivables has increased for six consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q1 2022 (growth of 17.2%), and the weakest in fiscal Q4 2023 (a decline of 2.7%).
- Business Quant data shows DCI's Receivables at $702.1 million (Q3 2026), $647.9 million (Q2 2026) and $655.6 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Donaldson | 10.13 Bn | 9.27 Bn | 383.90 Mn | 758.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 758.10 Mn |
| Apr 30, 2026 | 702.10 Mn |
| Jan 31, 2026 | 647.90 Mn |
| Oct 31, 2025 | 655.60 Mn |
| Jul 31, 2025 | 662.20 Mn |
| Apr 30, 2025 | 665.60 Mn |
| Jan 31, 2025 | 597.60 Mn |
| Oct 31, 2024 | 631.30 Mn |
| Jul 31, 2024 | 629.70 Mn |
| Apr 30, 2024 | 638.40 Mn |
| Jan 31, 2024 | 599.30 Mn |
| Oct 31, 2023 | 582.50 Mn |
| Jul 31, 2023 | 599.70 Mn |
| Apr 30, 2023 | 626.30 Mn |
| Jan 31, 2023 | 574.50 Mn |
| Oct 31, 2022 | 584.20 Mn |
| Jul 31, 2022 | 616.60 Mn |
| Apr 30, 2022 | 585.50 Mn |
| Jan 31, 2022 | 553.40 Mn |
| Oct 31, 2021 | 545.10 Mn |
API Access
Donaldson Receivables 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=receivables&ticker=DCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();