Flowers Foods (FLO) Interest Expenses (2009 - 2026)
Flowers Foods' Interest Expenses was $17.86 million in Q2 2027, down 5.4% from $18.88 million a year earlier.
Flowers Foods (FLO) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flowers Foods' Interest Expenses was $74.85 million through Jul 18, 2026, up 35.1% year-over-year; for FY2026, it was $76.67 million.
- Interest Expenses shows a five-year compound annual growth rate of 19.4% (FY2021 to FY2026).
- In earlier years, Interest Expenses was $37.13 million in FY2024 (+1.4%), $36.61 million in FY2023 (+26.6%) and $28.92 million in FY2022 (-8.3%).
- The Q2 2027 figure marks the lowest quarterly Interest Expenses since Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -31.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 62.70 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 | 19.64 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | - |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | 17.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 17.86 Mn |
| Jan 3, 2026 | 19.89 Mn |
| Oct 4, 2025 | 18.22 Mn |
| Jul 12, 2025 | 18.88 Mn |
| Apr 19, 2025 | 19.67 Mn |
| Dec 28, 2024 | 8.16 Mn |
| Oct 5, 2024 | 8.69 Mn |
| Jul 13, 2024 | 8.98 Mn |
| Apr 20, 2024 | 11.30 Mn |
| Dec 30, 2023 | 8.21 Mn |
| Oct 7, 2023 | 8.55 Mn |
| Jul 15, 2023 | 9.01 Mn |
| Apr 22, 2023 | 10.84 Mn |
| Dec 31, 2022 | 6.68 Mn |
| Oct 8, 2022 | 6.80 Mn |
| Jul 16, 2022 | 6.58 Mn |
| Apr 23, 2022 | 8.86 Mn |
| Jan 1, 2022 | 2.19 Mn |
| Oct 9, 2021 | 6.67 Mn |
| Jul 17, 2021 | 6.56 Mn |
Flowers Foods Interest Expenses 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=interest-expenses&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();