Enpro (NPO) Other Accumulated Expenses (2010 - 2013)
Enpro's Other Accumulated Expenses came in at $50.3 million for Q1 2013, up 43.3% from $35.1 million a year earlier and up 9.8% from the prior quarter.
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Analysis
Enpro (NPO) Other Accumulated Expenses (2010 - 2013) Analysis & Trends
At the end of FY2012, Enpro's Other Accumulated Expenses was $45.8 million, up 17.4% from FY2011.
- Going back by year, Other Accumulated Expenses was $39 million in FY2011 (-61.1%) and $100.3 million in FY2010.
- The five-year range for quarterly Other Accumulated Expenses is $35.1 million (Q1 2012) to $100.3 million (Q4 2010).
- Year-over-year, Other Accumulated Expenses increased in two of the last five quarters, with an average decline of 19.9%.
- Business Quant data shows NPO's Other Accumulated Expenses at $45.8 million (Q4 2012), $50.6 million (Q3 2012) and $39.5 million (Q2 2012) in the three quarters before Q1 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Enpro | 7.04 Bn | 6.64 Bn | 149.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2013 | 50.30 Mn |
| Dec 31, 2012 | 45.80 Mn |
| Sep 30, 2012 | 50.60 Mn |
| Jun 30, 2012 | 39.50 Mn |
| Mar 31, 2012 | 35.10 Mn |
| Dec 31, 2011 | 39.00 Mn |
| Sep 30, 2011 | 93.60 Mn |
| Jun 30, 2011 | 84.60 Mn |
| Dec 31, 2010 | 100.30 Mn |
API Access
Enpro 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=NPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NPO", "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=NPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();