Archer-Daniels-Midland (ADM) Accumulated Expenses (2009 - 2013)
Archer-Daniels-Midland's Accumulated Expenses came in at $1.8 billion for Q1 2013, down 5.9% from the prior quarter.
Analysis
Archer-Daniels-Midland (ADM) Accumulated Expenses (2009 - 2013) Analysis & Trends
At the end of FY2012, Archer-Daniels-Midland's Accumulated Expenses was $1.91 billion.
- Accumulated Expenses carries a three-year compound annual growth rate of -10.8% (FY2009 to FY2012).
- Going back by year, Accumulated Expenses was $1.57 billion in FY2011 (-39.2%), $2.58 billion in FY2010 (-4.4%) and $2.7 billion in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2013 | 1.80 Bn |
| Dec 31, 2012 | 1.91 Bn |
| Sep 30, 2012 | 2.28 Bn |
| Jun 30, 2012 | 1.21 Bn |
| Mar 31, 2012 | 5.16 Bn |
| Dec 31, 2011 | 5.71 Bn |
| Sep 30, 2011 | 4.29 Bn |
| Jun 30, 2011 | 1.57 Bn |
| Mar 31, 2011 | 3.25 Bn |
| Dec 31, 2010 | 4.09 Bn |
| Sep 30, 2010 | 3.14 Bn |
| Jun 30, 2010 | 2.58 Bn |
| Mar 31, 2010 | 2.32 Bn |
| Dec 31, 2009 | 2.30 Bn |
| Sep 30, 2009 | 2.43 Bn |
| Jun 30, 2009 | 2.70 Bn |
API Access
Archer-Daniels-Midland 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=ADM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ADM", "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=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();