Donaldson (DCI) Accumulated Expenses (2010 - 2019)
Donaldson (DCI) posted Accumulated Expenses of $32.2 million for fiscal Q4 2019 (quarter ended Jul 31, 2019), down 6.7% from $34.5 million a year earlier.
Analysis
Donaldson (DCI) Accumulated Expenses (2010 - 2019) Analysis & Trends
Since fiscal Q4 2010, Donaldson has reported Accumulated Expenses for 10 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -4.6% (FY2014 to FY2019).
- In prior fiscal years, Donaldson's Accumulated Expenses was $34.5 million in FY2018 (+10.9%), $31.1 million in FY2017 (-17.1%), $37.5 million in FY2016 (-12.6%) and $42.9 million in FY2015 (+5.0%).
- The fiscal Q4 2019 figure stands as the lowest quarterly Accumulated Expenses since fiscal Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Donaldson | 10.10 Bn | 9.24 Bn | 383.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2019 | 32.20 Mn |
| Jul 31, 2018 | 34.50 Mn |
| Jul 31, 2017 | 31.10 Mn |
| Jul 31, 2016 | 37.50 Mn |
| Jul 31, 2015 | 42.90 Mn |
| Jul 31, 2014 | 40.85 Mn |
| Jul 31, 2013 | 38.53 Mn |
| Jul 31, 2012 | 49.24 Mn |
| Jul 31, 2011 | 64.01 Mn |
| Jul 31, 2010 | 40.55 Mn |
API Access
Donaldson 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=accumulated-expenses&ticker=DCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();