Flowers Foods (FLO) Construction in Progress (2009 - 2024)
Flowers Foods' Construction in Progress came in at $63.52 million for FY2026.
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Analysis
Flowers Foods (FLO) Construction in Progress (2009 - 2024) Analysis & Trends
Going back to FY2010, Flowers Foods' Construction in Progress data covers 14 years.
- Construction in Progress carries a five-year compound annual growth rate of -6.2% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Construction in Progress since FY2022.
- Per Business Quant, earlier years put Construction in Progress at $60.55 million in FY2024 (+3.4%), $58.59 million in FY2023 (-57.4%) and $137.63 million in FY2022 (+57.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Construction in Progress (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 | 371.52 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 | 570.50 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 289.75 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 | 60.55 Mn |
| Dec 30, 2023 | 58.59 Mn |
| Dec 31, 2022 | 137.63 Mn |
| Dec 28, 2019 | 42.82 Mn |
| Dec 29, 2018 | 44.20 Mn |
| Dec 30, 2017 | 22.02 Mn |
| Dec 31, 2016 | 37.56 Mn |
| Dec 28, 2013 | 41.12 Mn |
| Dec 29, 2012 | 21.65 Mn |
| Dec 31, 2011 | 13.89 Mn |
| Jan 1, 2011 | 22.48 Mn |
| Jan 2, 2010 | 27.01 Mn |
| Jan 3, 2009 | 32.66 Mn |
API Access
Flowers Foods Construction in Progress 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=construction-in-progress&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "construction-in-progress", "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=construction-in-progress&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();