Flowers Foods (FLO) Finished Goods (2010 - 2026)
Flowers Foods (FLO) recorded Finished Goods of $101.86 million in Q2 2027, up 0.5% from $101.31 million a year earlier.
Analysis
Flowers Foods (FLO) Finished Goods (2010 - 2026) Analysis & Trends
At the end of FY2026, Flowers Foods reported Finished Goods of $97.96 million.
- Annual Finished Goods has a five-year compound annual growth rate of 11.9% (FY2021 to FY2026).
- Across earlier years, Finished Goods came in at $77.01 million in FY2024 (-7.0%), $82.81 million in FY2023 (+19.3%) and $69.44 million in FY2022 (+24.1%).
- The Q2 2027 figure is the highest quarterly Finished Goods in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 101.86 Mn |
| Jan 3, 2026 | 97.96 Mn |
| Oct 4, 2025 | 97.18 Mn |
| Jul 12, 2025 | 101.31 Mn |
| Apr 19, 2025 | 101.74 Mn |
| Dec 28, 2024 | 77.01 Mn |
| Oct 5, 2024 | 80.55 Mn |
| Jul 13, 2024 | 77.25 Mn |
| Apr 20, 2024 | 84.88 Mn |
| Dec 30, 2023 | 82.81 Mn |
| Oct 7, 2023 | 82.51 Mn |
| Jul 15, 2023 | 74.72 Mn |
| Apr 22, 2023 | 78.23 Mn |
| Dec 31, 2022 | 69.44 Mn |
| Oct 8, 2022 | 69.02 Mn |
| Jul 16, 2022 | 69.96 Mn |
| Apr 23, 2022 | 63.76 Mn |
| Jan 1, 2022 | 55.94 Mn |
| Oct 9, 2021 | 58.24 Mn |
| Jul 17, 2021 | 56.28 Mn |
API Access
Flowers Foods Finished Goods 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=finished-goods&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();