Donaldson (DCI) Total Non-Current Liabilities (2010 - 2026)
Donaldson's Total Non-Current Liabilities came in at $2.13 billion for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 50.4% from $1.42 billion a year earlier and up 65.1% from the prior quarter.
Donaldson (DCI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Donaldson's Total Non-Current Liabilities data covers 65 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $1.42 billion in FY2025 (+7.2%), $1.32 billion in FY2024 (-1.5%), $1.34 billion in FY2023 (-2.5%) and $1.38 billion in FY2022 (+17.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 8.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2026 (growth of 50.4%), and the weakest in fiscal Q3 2026 (a decline of 9.8%).
- Business Quant data shows DCI's Total Non-Current Liabilities at $1.29 billion (Q3 2026), $1.37 billion (Q2 2026) and $1.41 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Donaldson | 10.12 Bn | 9.26 Bn | 383.90 Mn | 2.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.13 Bn |
| Apr 30, 2026 | 1.29 Bn |
| Jan 31, 2026 | 1.37 Bn |
| Oct 31, 2025 | 1.41 Bn |
| Jul 31, 2025 | 1.42 Bn |
| Apr 30, 2025 | 1.43 Bn |
| Jan 31, 2025 | 1.31 Bn |
| Oct 31, 2024 | 1.39 Bn |
| Jul 31, 2024 | 1.32 Bn |
| Apr 30, 2024 | 1.28 Bn |
| Jan 31, 2024 | 1.31 Bn |
| Oct 31, 2023 | 1.33 Bn |
| Jul 31, 2023 | 1.34 Bn |
| Apr 30, 2023 | 1.27 Bn |
| Jan 31, 2023 | 1.29 Bn |
| Oct 31, 2022 | 1.27 Bn |
| Jul 31, 2022 | 1.38 Bn |
| Apr 30, 2022 | 1.32 Bn |
| Jan 31, 2022 | 1.30 Bn |
| Oct 31, 2021 | 1.24 Bn |
Donaldson Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();