Flowers Foods (FLO) Asset Writedowns and Impairment (2009 - 2026)
Flowers Foods (FLO) reported Asset Writedowns and Impairment of $135.98 million for Q4 2026.
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Analysis
Flowers Foods (FLO) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
For FY2026, Flowers Foods posted Asset Writedowns and Impairment of $141.48 million.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 515.6% (FY2021 to FY2026).
- By year, Asset Writedowns and Impairment came in at $10.31 million in FY2024 (+7.3%), $9.61 million in FY2023 (+146.6%) and $3.9 million in FY2022.
- The Q4 2026 figure ranks as the highest quarterly Asset Writedowns and Impairment in data going back to Q3 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.18 Bn | 1.09 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 135.98 Mn |
| Jul 12, 2025 | 1.40 Mn |
| Apr 19, 2025 | 5.50 Mn |
| Dec 28, 2024 | 446,000.00 |
| Oct 5, 2024 | 2.40 Mn |
| Jul 13, 2024 | 1.40 Mn |
| Apr 20, 2024 | 4.00 Mn |
| Dec 30, 2023 | 6.26 Mn |
| Oct 7, 2023 | 1.94 Mn |
| Jul 15, 2023 | 484,000.00 |
| Apr 22, 2023 | 921,000.00 |
| Dec 31, 2022 | 3.25 Mn |
| Oct 8, 2022 | 3.80 Mn |
| Apr 23, 2022 | 990,000.00 |
| Apr 24, 2021 | 406,000.00 |
| Jan 2, 2021 | 1.30 Mn |
| Oct 3, 2020 | 12.04 Mn |
| Jul 11, 2020 | 4.20 Mn |
| Apr 18, 2020 | 353,000.00 |
| Dec 28, 2019 | 15.40 Mn |
API Access
Flowers Foods Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();