Donaldson (DCI) Land & Improvements (2009 - 2015)
Donaldson (DCI) recorded Land & Improvements of $20.03 million in fiscal Q4 2015 (quarter ended Jul 31, 2015), down 2.6% from $20.56 million a year earlier.
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Analysis
Donaldson (DCI) Land & Improvements (2009 - 2015) Analysis & Trends
Starting with fiscal Q4 2010, Donaldson's Land & Improvements history includes 6 quarters.
- Annual Land & Improvements has a five-year compound annual growth rate of -1.7% (FY2010 to FY2015).
- Across earlier fiscal years, Land & Improvements came in at $20.56 million in FY2014 (-2.6%), $21.12 million in FY2013 (+0.3%), $21.06 million in FY2012 (-6.7%) and $22.58 million in FY2011 (+3.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | - |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.56 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 252.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | - |
| 10 | Donaldson | 10.13 Bn | 9.27 Bn | 383.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2015 | 20.03 Mn |
| Jul 31, 2014 | 20.56 Mn |
| Jul 31, 2013 | 21.12 Mn |
| Jul 31, 2012 | 21.06 Mn |
| Jul 31, 2011 | 22.58 Mn |
| Jul 31, 2010 | 21.77 Mn |
| Jul 31, 2009 | 21.79 Mn |
API Access
Donaldson Land & Improvements 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=land-and-improvements&ticker=DCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=DCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();