Flowers Foods (FLO) Land & Improvements (2011 - 2026)
Flowers Foods' Land & Improvements came in at $134.53 million for FY2026.
Powered by 
Analysis
Flowers Foods (FLO) Land & Improvements (2011 - 2026) 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 | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 195.99 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 158.50 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 75.32 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Flowers Foods | 1.18 Bn | 1.08 Bn | 577.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 134.53 Mn |
| Dec 28, 2024 | 130.23 Mn |
| Dec 30, 2023 | 128.41 Mn |
| Dec 31, 2022 | 111.79 Mn |
| Jan 1, 2022 | 112.73 Mn |
| Jan 2, 2021 | 93.04 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 |
| Jan 2, 2016 | 93.12 Mn |
| Jan 3, 2015 | 93.31 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 |
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();