Flowers Foods (FLO) Depreciation & Amortization - Total (2024 - 2026)
Flowers Foods' Depreciation & Amortization - Total came in at $38.58 million for Q2 2027, down 3.1% from $39.8 million a year earlier.
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Analysis
Flowers Foods (FLO) Depreciation & Amortization - Total (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 18, 2026, Flowers Foods reported Depreciation & Amortization - Total of $156.67 million, down 3.9% year-over-year; for FY2026, it came in at $167.34 million.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Going back by year, Depreciation & Amortization - Total was $158.95 million in FY2024 (+6.0%), $150.01 million in FY2023 (+7.0%) and $140.25 million in FY2022 (+34.9%).
- The five-year range for quarterly Depreciation & Amortization - Total is $38.44 million (Q4 2026) to $49.25 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | - |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | - |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | - |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | - |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | Flowers Foods | 1.37 Bn | 1.28 Bn | 577.93 Mn | 38.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 38.58 Mn |
| Oct 4, 2025 | 39.85 Mn |
| Jul 12, 2025 | 39.80 Mn |
| Apr 19, 2025 | 49.25 Mn |
| Dec 28, 2024 | 36.77 Mn |
| Oct 5, 2024 | 37.27 Mn |
| Jul 13, 2024 | 36.76 Mn |
| Apr 20, 2024 | 48.15 Mn |
API Access
Flowers Foods Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();