Andersons (ANDE) Operating Expenses (2009 - 2020)
Andersons (ANDE) reported Operating Expenses of $105.06 million for Q1 2020, down 7.3% from $113.35 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Andersons (ANDE) Operating Expenses (2009 - 2020) Analysis & Trends
Over the twelve months ended Mar 31, 2020, Andersons' Operating Expenses came in at $428.55 million, up 39.6% year-over-year; for FY2019, it came in at $436.84 million, up 69.4% from FY2018.
- Operating Expenses has a five-year compound annual growth rate of 6.7% (FY2014 to FY2019).
- By year, Operating Expenses came in at $257.87 million in FY2018 (-10.1%), $286.99 million in FY2017 (-9.2%), $316.09 million in FY2016 (-6.4%) and $337.83 million in FY2015 (+7.0%).
- The Q1 2020 figure ranks as the lowest quarterly Operating Expenses since Q4 2018.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 31.8%.
- The high point for year-over-year Operating Expenses in five years was Q2 2019 (growth of 78.6%); the low point was Q1 2018 (a decline of 21.2%).
- Per Business Quant data, the three quarters before Q1 2020 came in at $109.46 million (Q4 2019), $107.12 million (Q3 2019) and $106.92 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 121.00 Mn |
| 10 | Andersons | 2.23 Bn | 1.95 Bn | 223.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 105.06 Mn |
| Dec 31, 2019 | 109.46 Mn |
| Sep 30, 2019 | 107.12 Mn |
| Jun 30, 2019 | 106.92 Mn |
| Mar 31, 2019 | 113.35 Mn |
| Dec 31, 2018 | 67.78 Mn |
| Sep 30, 2018 | 65.99 Mn |
| Jun 30, 2018 | 59.85 Mn |
| Mar 31, 2018 | 64.26 Mn |
| Dec 31, 2017 | 67.75 Mn |
| Sep 30, 2017 | 68.15 Mn |
| Jun 30, 2017 | 69.54 Mn |
| Mar 31, 2017 | 81.55 Mn |
| Dec 31, 2016 | 82.04 Mn |
| Sep 30, 2016 | 78.77 Mn |
| Jun 30, 2016 | 75.41 Mn |
| Mar 31, 2016 | 79.88 Mn |
| Dec 31, 2015 | 86.79 Mn |
| Sep 30, 2015 | 88.70 Mn |
| Jun 30, 2015 | 83.74 Mn |
API Access
Andersons Operating 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=operating-expenses&ticker=ANDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ANDE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ANDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();