Nordson (NDSN) Other Accumulated Expenses (2011 - 2019)
Nordson (NDSN) posted Other Accumulated Expenses of $93.15 million for fiscal Q4 2019 (quarter ended Oct 31, 2019), up 4.0% from $89.57 million a year earlier.
Analysis
Nordson (NDSN) Other Accumulated Expenses (2011 - 2019) Analysis & Trends
Since fiscal Q4 2011, Nordson has reported Other Accumulated Expenses for 9 quarters.
- Annual Other Accumulated Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 5.5% (FY2014 to FY2019).
- In prior fiscal years, Nordson's Other Accumulated Expenses was $89.57 million in FY2018 (+2.1%), $87.7 million in FY2017 (+2.5%), $85.54 million in FY2016 (+9.7%) and $77.98 million in FY2015 (+9.6%).
- The fiscal Q4 2019 figure stands as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.89 Bn | 288.59 Bn | 7.76 Bn |
| 2 | Amphenol | 182.03 Bn | 176.61 Bn | 3.55 Bn |
| 3 | Deere | 173.88 Bn | 141.98 Bn | 4.66 Bn |
| 4 | Eaton | 142.61 Bn | 139.79 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 111.30 Bn | 109.42 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.48 Bn | 83.22 Bn | 2.66 Bn |
| 7 | 3M | 90.45 Bn | 71.89 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 79.28 Bn | 75.84 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 74.97 Bn | 65.59 Bn | 1.23 Bn |
| 10 | Nordson | 17.79 Bn | 17.35 Bn | 453.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2019 | 93.15 Mn |
| Oct 31, 2018 | 89.57 Mn |
| Oct 31, 2017 | 87.70 Mn |
| Oct 31, 2016 | 85.54 Mn |
| Oct 31, 2015 | 77.98 Mn |
| Oct 31, 2014 | 71.17 Mn |
| Oct 31, 2013 | 59.68 Mn |
| Oct 31, 2012 | 62.82 Mn |
| Oct 31, 2011 | 46.94 Mn |
API Access
Nordson Other Accumulated 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=other-accumulated-expenses&ticker=NDSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=NDSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();