Flowers Foods (FLO) Land & Improvements (2009 - 2024)
Flowers Foods' Land & Improvements came in at $134.53 million for FY2026.
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Analysis
Flowers Foods (FLO) Land & Improvements (2009 - 2024) Analysis & Trends
Going back to FY2010, Flowers Foods' Land & Improvements data covers 14 years.
- Land & Improvements carries a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Land & Improvements in data going back to FY2010.
- Per Business Quant, earlier years put Land & Improvements at $130.23 million in FY2024 (+1.4%), $128.41 million in FY2023 (+14.9%) and $111.79 million in FY2022 (-0.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 197.04 Mn |
| 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 | 158.50 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 75.32 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 28, 2024 | 130.23 Mn |
| Dec 30, 2023 | 128.41 Mn |
| Dec 31, 2022 | 111.79 Mn |
| Dec 28, 2019 | 94.65 Mn |
| Dec 29, 2018 | 94.03 Mn |
| Dec 30, 2017 | 90.30 Mn |
| Dec 31, 2016 | 89.67 Mn |
| Dec 28, 2013 | 99.20 Mn |
| Dec 29, 2012 | 75.61 Mn |
| Dec 31, 2011 | 69.96 Mn |
| Jan 1, 2011 | 67.04 Mn |
| Jan 2, 2010 | 64.82 Mn |
| Jan 3, 2009 | 61.36 Mn |
API Access
Flowers Foods Land & Improvements 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=land-and-improvements&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();