Flowers Foods (FLO) Other Operating Expenses (2009 - 2018)
Flowers Foods (FLO) posted Other Operating Expenses of -$615.01 million for Q2 2027, compared with -$636.08 million a year earlier.
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Analysis
Flowers Foods (FLO) Other Operating Expenses (2009 - 2018) Analysis & Trends
For the trailing twelve months through Jul 18, 2026, Other Operating Expenses at Flowers Foods was -$2.52 billion; for FY2026, it was -$2.69 billion.
- In prior years, Flowers Foods' Other Operating Expenses was -$2.58 billion in FY2024, -$2.63 billion in FY2023 and -$2.5 billion in FY2022.
- The Q2 2027 figure stands as the highest quarterly Other Operating Expenses since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.37 Bn | 1.28 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2018 | -3.52 Mn |
| Jul 14, 2018 | 17,000.00 |
| Apr 21, 2018 | -2.50 Mn |
| Dec 31, 2016 | -24.88 Mn |
| Apr 23, 2016 | 115,000.00 |
| Jul 18, 2015 | -2.28 Mn |
| Apr 25, 2015 | -143,000.00 |
| Jul 12, 2014 | -4.49 Mn |
| Dec 29, 2012 | 50.78 Mn |
| Oct 6, 2012 | 38.19 Mn |
| Jul 14, 2012 | 24.72 Mn |
| Apr 21, 2012 | 14.21 Mn |
| Dec 31, 2011 | 41.08 Mn |
| Oct 8, 2011 | 33.52 Mn |
| Jul 16, 2011 | 27.17 Mn |
| Apr 23, 2011 | 13.96 Mn |
| Jan 1, 2011 | 36.88 Mn |
| Oct 9, 2010 | 28.21 Mn |
| Jul 17, 2010 | 20.54 Mn |
| Apr 24, 2010 | 12.18 Mn |
API Access
Flowers Foods Other 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=other-operating-expenses&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "FLO", "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-operating-expenses&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();