Flowers Foods (FLO) Amortization - Intangibles (2024 - 2026)
Flowers Foods (FLO) reported Amortization - Intangibles of $8.11 million for Q2 2027, down 16.0% from $9.66 million a year earlier.
Powered by 
Analysis
Flowers Foods (FLO) Amortization - Intangibles (2024 - 2026) Analysis & Trends
Over the twelve months ended Jul 18, 2026, Flowers Foods' Amortization - Intangibles came in at $36.45 million, up 5.3% year-over-year; for FY2026, it came in at $38.93 million.
- Amortization - Intangibles has a four-year compound annual growth rate of 5.2% (FY2022 to FY2026).
- By year, Amortization - Intangibles came in at $31.37 million in FY2024 (-2.6%), $32.22 million in FY2023 (+1.5%) and $31.75 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.73 Bn | 96.19 Bn | - |
| 2 | Mondelez International | 82.48 Bn | 75.75 Bn | 3.99 Bn |
| 3 | Hershey | 35.21 Bn | 31.45 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.00 Bn | 15.42 Bn | 2.03 Bn |
| 5 | General Mills | 18.41 Bn | 16.06 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.01 Bn | 13.80 Bn | 979.60 Mn |
| 7 | Mccormick | 12.88 Bn | 11.94 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.65 Bn | 8.32 Bn | 471.52 Mn |
| 9 | Chewy | 9.00 Bn | 6.29 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.32 Bn | 1.23 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 8.11 Mn |
| Jan 3, 2026 | 8.92 Mn |
| Oct 4, 2025 | 9.77 Mn |
| Jul 12, 2025 | 9.66 Mn |
| Apr 19, 2025 | 10.58 Mn |
| Dec 28, 2024 | 7.18 Mn |
| Oct 5, 2024 | 7.22 Mn |
| Jul 13, 2024 | 7.26 Mn |
| Apr 20, 2024 | 9.72 Mn |
API Access
Flowers Foods Amortization - Intangibles 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=amortization-intangibles&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();