Flowers Foods (FLO) Operating Leases (2019 - 2026)
Flowers Foods (FLO) reported Operating Leases of $241.94 million for Q2 2027, down 5.2% from $255.09 million a year earlier.
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Analysis
Flowers Foods (FLO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026, Flowers Foods posted Operating Leases of $251.18 million.
- Operating Leases has a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- By year, Operating Leases came in at $254.45 million in FY2024 (+7.4%), $236.87 million in FY2023 (unchanged) and $236.98 million in FY2022 (-5.5%).
- The Q2 2027 figure ranks as the lowest quarterly Operating Leases in data going back to Q1 2021.
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 | 241.94 Mn |
| Jan 3, 2026 | 251.18 Mn |
| Oct 4, 2025 | 262.50 Mn |
| Jul 12, 2025 | 255.09 Mn |
| Apr 19, 2025 | 259.53 Mn |
| Dec 28, 2024 | 254.45 Mn |
| Oct 5, 2024 | 251.12 Mn |
| Jul 13, 2024 | 243.97 Mn |
| Apr 20, 2024 | 247.39 Mn |
| Dec 30, 2023 | 236.87 Mn |
| Oct 7, 2023 | 221.85 Mn |
| Jul 15, 2023 | 230.81 Mn |
| Apr 22, 2023 | 236.92 Mn |
| Dec 31, 2022 | 236.98 Mn |
| Oct 8, 2022 | 234.78 Mn |
| Jul 16, 2022 | 242.39 Mn |
| Apr 23, 2022 | 250.91 Mn |
| Jan 1, 2022 | 250.64 Mn |
| Oct 9, 2021 | 294.29 Mn |
| Jul 17, 2021 | 300.35 Mn |
API Access
Flowers Foods Operating Leases 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=operating-leases&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();