Nordson (NDSN) Operating Expenses (2009 - 2026)
Nordson (NDSN) reported Operating Expenses of $230.64 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 58.3% from $553.74 million a year earlier but up 11.5% from the prior quarter.
Nordson (NDSN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Nordson's Operating Expenses came in at $1.17 billion, down 44.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $2.08 billion, up 3.2% from FY2024.
- Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $2.02 billion in FY2024 (+3.1%), $1.96 billion in FY2023 (+3.6%), $1.89 billion in FY2022 (+8.1%) and $1.75 billion in FY2021 (-1.4%).
- Five-year quarterly Operating Expenses spans a low of $199.72 million in fiscal Q1 2026 and a high of $565.59 million in fiscal Q4 2024.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with an average decline of 19.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 13.0%); the low point was fiscal Q2 2026 (a decline of 59.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $206.87 million (Q2 2026), $199.72 million (Q1 2026) and $537.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 338.35 Bn | 310.05 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 196.58 Bn | 191.16 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 170.02 Bn | 138.12 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 151.86 Bn | 149.05 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.43 Bn | 118.55 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.10 Bn | 83.83 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 89.06 Bn | 70.46 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 81.48 Bn | 72.10 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.16 Bn | 75.71 Bn | 1.90 Bn | - |
| 10 | Nordson | 18.39 Bn | 17.95 Bn | 453.73 Mn | 230.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 230.64 Mn |
| Apr 30, 2026 | 206.87 Mn |
| Jan 31, 2026 | 199.72 Mn |
| Oct 31, 2025 | 537.56 Mn |
| Jul 31, 2025 | 553.74 Mn |
| Apr 30, 2025 | 514.19 Mn |
| Jan 31, 2025 | 474.47 Mn |
| Oct 31, 2024 | 565.59 Mn |
| Jul 31, 2024 | 494.55 Mn |
| Apr 30, 2024 | 482.03 Mn |
| Jan 31, 2024 | 473.76 Mn |
| Oct 31, 2023 | 534.27 Mn |
| Jul 31, 2023 | 477.68 Mn |
| Apr 30, 2023 | 477.66 Mn |
| Jan 31, 2023 | 466.26 Mn |
| Oct 31, 2022 | 505.97 Mn |
| Jul 31, 2022 | 477.21 Mn |
| Apr 30, 2022 | 451.43 Mn |
| Jan 31, 2022 | 453.31 Mn |
| Oct 31, 2021 | 447.81 Mn |
Nordson 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=NDSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NDSN", "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=NDSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();