Flowers Foods (FLO) Depreciation & Amortization - Total (2024 - 2026)
Flowers Foods' Depreciation & Amortization - Total came in at $30.47 million for Q2 2027, up 1.1% from $30.14 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 $120.21 million, down 6.4% year-over-year; for FY2026, it came in at $128.41 million.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- Going back by year, Depreciation & Amortization - Total was $127.58 million in FY2024 (+8.3%), $117.79 million in FY2023 (+8.6%) and $108.5 million in FY2022 (+4.4%).
- The Q2 2027 figure represents the highest quarterly Depreciation & Amortization - Total since Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Flowers Foods | 1.18 Bn | 1.08 Bn | 577.93 Mn | 30.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 30.47 Mn |
| Jan 3, 2026 | 29.52 Mn |
| Oct 4, 2025 | 30.08 Mn |
| Jul 12, 2025 | 30.14 Mn |
| Apr 19, 2025 | 38.67 Mn |
| Dec 28, 2024 | 29.59 Mn |
| Oct 5, 2024 | 30.05 Mn |
| Jul 13, 2024 | 29.50 Mn |
| Apr 20, 2024 | 38.43 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();