Flowers Foods (FLO) Pension (2010 - 2026)
Flowers Foods (FLO) reported Pension of $8.82 million for Q2 2027, up 69.3% from $5.21 million a year earlier.
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Analysis
Flowers Foods (FLO) Pension (2010 - 2026) Analysis & Trends
At the end of FY2026, Flowers Foods posted Pension of $8.6 million.
- Pension has a five-year compound annual growth rate of 3.5% (FY2021 to FY2026).
- By year, Pension came in at $5.51 million in FY2024 (-4.9%), $5.8 million in FY2023 (-0.3%) and $5.81 million in FY2022 (-19.8%).
- The Q2 2027 figure ranks as the highest quarterly Pension since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 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 |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 8.82 Mn |
| Jan 3, 2026 | 8.60 Mn |
| Oct 4, 2025 | 5.25 Mn |
| Jul 12, 2025 | 5.21 Mn |
| Apr 19, 2025 | 5.24 Mn |
| Dec 28, 2024 | 5.51 Mn |
| Oct 5, 2024 | 5.32 Mn |
| Jul 13, 2024 | 5.57 Mn |
| Apr 20, 2024 | 5.70 Mn |
| Dec 30, 2023 | 5.80 Mn |
| Oct 7, 2023 | 5.50 Mn |
| Jul 15, 2023 | 5.61 Mn |
| Apr 22, 2023 | 5.80 Mn |
| Dec 31, 2022 | 5.81 Mn |
| Oct 8, 2022 | 6.80 Mn |
| Jul 16, 2022 | 7.06 Mn |
| Apr 23, 2022 | 7.13 Mn |
| Jan 1, 2022 | 7.25 Mn |
| Oct 9, 2021 | 9.44 Mn |
| Jul 17, 2021 | 9.69 Mn |
API Access
Flowers Foods Pension 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=pension&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();