Nordson (NDSN) EBITDA (2010 - 2026)
Nordson's EBITDA was $259.64 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 15.1% from $225.61 million a year earlier and up 11.2% from the prior quarter.
Nordson (NDSN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nordson's EBITDA was $928.31 million through Jul 31, 2026, up 15.2% year-over-year; for FY2025 (ended Oct 31, 2025), it was $862.25 million, up 6.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $810.18 million in FY2024 (+3.3%), $784.66 million in FY2023 (-2.2%), $802.28 million in FY2022 (+11.6%) and $719.01 million in FY2021 (+55.3%).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- Compared with a year earlier, EBITDA has increased for six straight quarters, with growth averaging 8.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2021 (growth of 188.7%); the worst was fiscal Q1 2025 (a decline of 7.8%).
- Per Business Quant data, NDSN's EBITDA in the three fiscal quarters before Q3 2026 was $233.52 million (Q2 2026), $202.99 million (Q1 2026) and $232.17 million (Q4 2025).
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 | Nordson | 18.45 Bn | 18.01 Bn | 453.73 Mn | 259.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 259.64 Mn |
| Apr 30, 2026 | 233.52 Mn |
| Jan 31, 2026 | 202.99 Mn |
| Oct 31, 2025 | 232.17 Mn |
| Jul 31, 2025 | 225.61 Mn |
| Apr 30, 2025 | 206.33 Mn |
| Jan 31, 2025 | 177.98 Mn |
| Oct 31, 2024 | 195.86 Mn |
| Jul 31, 2024 | 200.44 Mn |
| Apr 30, 2024 | 201.34 Mn |
| Jan 31, 2024 | 192.98 Mn |
| Oct 31, 2023 | 198.42 Mn |
| Jul 31, 2023 | 198.10 Mn |
| Apr 30, 2023 | 199.61 Mn |
| Jan 31, 2023 | 170.65 Mn |
| Oct 31, 2022 | 189.83 Mn |
| Jul 31, 2022 | 209.81 Mn |
| Apr 30, 2022 | 208.94 Mn |
| Jan 31, 2022 | 181.25 Mn |
| Oct 31, 2021 | 164.38 Mn |
Nordson 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=NDSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NDSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();