Fmc (FMC) Change in Accured Expenses (2009 - 2014)
Fmc (FMC) posted Change in Accured Expenses of $7.2 million for Q2 2014, up 7.5% from $6.7 million a year earlier.
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Analysis
Fmc (FMC) Change in Accured Expenses (2009 - 2014) Analysis & Trends
For the trailing twelve months through Jun 30, 2014, Change in Accured Expenses at Fmc was $33.1 million, down 3.2% year-over-year; for FY2013, it came in at $35 million, up 0.6% from FY2012.
- Annual Change in Accured Expenses has increased for three consecutive years.
- In prior years, Fmc's Change in Accured Expenses was $34.8 million in FY2012 (+12.3%), $31 million in FY2011 (+118.3%), $14.2 million in FY2010 and -$6.4 million in FY2009.
- Quarterly Change in Accured Expenses has run from a low of -$31.8 million in Q3 2009 to a high of $53.9 million in Q4 2013 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2010, with growth of 519.6%; the weakest was Q3 2013, with a decline of 96.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$29 million (Q1 2014), $53.9 million (Q4 2013) and $1 million (Q3 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 233.53 Bn | 215.11 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 112.22 Bn | 104.79 Bn | 1.63 Bn | 275.00 Mn |
| 3 | Sherwin Williams | 81.71 Bn | 80.75 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 66.91 Bn | 62.10 Bn | 1.04 Bn | 43.80 Mn |
| 5 | LyondellBasell Industries | 41.47 Bn | 30.98 Bn | 2.04 Bn | - |
| 6 | Nutrien | 34.04 Bn | 30.87 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Ati | 24.95 Bn | 22.98 Bn | 309.80 Mn | - |
| 8 | Qnity Electronics | 24.69 Bn | 21.83 Bn | 666.00 Mn | 110.00 Mn |
| 9 | Ppg Industries | 24.10 Bn | 16.76 Bn | 1.81 Bn | 272.00 Mn |
| 10 | Fmc | 680.32 Mn | -1.27 Bn | 342.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 7.20 Mn |
| Mar 31, 2014 | -29.00 Mn |
| Dec 31, 2013 | 53.90 Mn |
| Sep 30, 2013 | 1.00 Mn |
| Jun 30, 2013 | 6.70 Mn |
| Mar 31, 2013 | -26.60 Mn |
| Dec 31, 2012 | 21.70 Mn |
| Sep 30, 2012 | 32.40 Mn |
| Jun 30, 2012 | 10.10 Mn |
| Mar 31, 2012 | -29.40 Mn |
| Dec 31, 2011 | 40.20 Mn |
| Sep 30, 2011 | 17.10 Mn |
| Jun 30, 2011 | 2.80 Mn |
| Mar 31, 2011 | -29.10 Mn |
| Dec 31, 2010 | 28.50 Mn |
| Sep 30, 2010 | -3.00 Mn |
| Jun 30, 2010 | 3.80 Mn |
| Mar 31, 2010 | -15.10 Mn |
| Dec 31, 2009 | 4.60 Mn |
| Sep 30, 2009 | -31.80 Mn |
API Access
Fmc Change in Accured 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=change-in-accured-expenses&ticker=FMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FMC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();