Ingredion (INGR) Accumulated Expenses (2009 - 2022)
Ingredion (INGR) posted Accumulated Expenses of $466 million for Q4 2022, up 8.4% from $430 million a year earlier.
Analysis
Ingredion (INGR) Accumulated Expenses (2009 - 2022) Analysis & Trends
Since Q4 2009, Ingredion has reported Accumulated Expenses for 14 quarters.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 6.3% (FY2017 to FY2022).
- In prior years, Ingredion's Accumulated Expenses was $430 million in FY2021 (+2.1%), $421 million in FY2020 (+10.5%), $381 million in FY2019 (+17.2%) and $325 million in FY2018 (-5.5%).
- The Q4 2022 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2009.
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 |
|---|---|
| Dec 31, 2022 | 466.00 Mn |
| Dec 31, 2021 | 430.00 Mn |
| Dec 31, 2020 | 421.00 Mn |
| Dec 31, 2019 | 381.00 Mn |
| Dec 31, 2018 | 325.00 Mn |
| Dec 31, 2017 | 344.00 Mn |
| Dec 31, 2016 | 432.00 Mn |
| Dec 31, 2015 | 300.00 Mn |
| Dec 31, 2014 | 268.00 Mn |
| Dec 31, 2013 | 269.00 Mn |
| Dec 31, 2012 | 265.00 Mn |
| Dec 31, 2011 | 249.00 Mn |
| Dec 31, 2010 | 264.00 Mn |
| Dec 31, 2009 | 101.00 Mn |
API Access
Ingredion 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=INGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "INGR", "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=INGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();