Flowers Foods (FLO) Total Debt (2010 - 2026)
Flowers Foods (FLO) recorded Total Debt of $1.69 billion in Q2 2027, down 3.9% from $1.76 billion a year earlier.
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Analysis
Flowers Foods (FLO) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2026, Flowers Foods reported Total Debt of $1.76 billion.
- Annual Total Debt has a five-year compound annual growth rate of 14.1% (FY2021 to FY2026).
- Across earlier years, Total Debt came in at $1.04 billion in FY2024 (-2.8%), $1.07 billion in FY2023 (+17.2%) and $909.84 million in FY2022 (+0.2%).
- The Q2 2027 figure is the lowest quarterly Total Debt since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 37.32 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 21.45 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 5.61 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 19.00 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 13.62 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 4.93 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 6.74 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 2.86 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 591.70 Mn |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | 1.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 1.69 Bn |
| Jan 3, 2026 | 1.76 Bn |
| Oct 4, 2025 | 1.79 Bn |
| Jul 12, 2025 | 1.76 Bn |
| Apr 19, 2025 | 1.80 Bn |
| Dec 28, 2024 | 1.04 Bn |
| Oct 5, 2024 | 1.07 Bn |
| Jul 13, 2024 | 1.08 Bn |
| Apr 20, 2024 | 1.05 Bn |
| Dec 30, 2023 | 1.07 Bn |
| Oct 7, 2023 | 1.05 Bn |
| Jul 15, 2023 | 1.09 Bn |
| Apr 22, 2023 | 1.08 Bn |
| Dec 31, 2022 | 909.84 Mn |
| Oct 8, 2022 | 907.89 Mn |
| Jul 16, 2022 | 905.27 Mn |
| Apr 23, 2022 | 902.46 Mn |
| Jan 1, 2022 | 907.81 Mn |
| Oct 9, 2021 | 903.62 Mn |
| Jul 17, 2021 | 900.62 Mn |
API Access
Flowers Foods Total Debt 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=total-debt&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();