Flowers Foods (FLO) Net Cash Flow (2009 - 2026)
Flowers Foods' Net Cash Flow came in at -$4.63 million for Q4 2026.
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Analysis
Flowers Foods (FLO) Net Cash Flow (2009 - 2026) Analysis & Trends
For FY2026, Flowers Foods' Net Cash Flow was $7.1 million.
- Going back by year, Net Cash Flow was -$17.52 million in FY2024, -$142.61 million in FY2023 and -$12.37 million in FY2022.
- The Q4 2026 figure represents the lowest quarterly Net Cash Flow since Q1 2022.
- Business Quant data shows FLO's Net Cash Flow at $5.69 million (Q3 2026), $3.71 million (Q2 2026) and $2.34 million (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 126.00 Mn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | -88.36 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -922.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | -27.70 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 158.10 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | -14.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 16.06 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 126.10 Mn |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | -4.63 Mn |
| Oct 4, 2025 | 5.69 Mn |
| Jul 12, 2025 | 3.71 Mn |
| Apr 19, 2025 | 2.34 Mn |
| Dec 28, 2024 | -9.97 Mn |
| Oct 5, 2024 | 8.11 Mn |
| Jul 13, 2024 | -8.95 Mn |
| Apr 20, 2024 | -6.71 Mn |
| Dec 30, 2023 | 7.97 Mn |
| Oct 7, 2023 | 2.85 Mn |
| Jul 15, 2023 | -16.01 Mn |
| Apr 22, 2023 | -137.41 Mn |
| Dec 31, 2022 | -7.61 Mn |
| Oct 8, 2022 | 18.60 Mn |
| Jul 16, 2022 | -42.64 Mn |
| Apr 23, 2022 | 19.28 Mn |
| Jan 1, 2022 | -436.39 Mn |
| Apr 24, 2021 | -56.91 Mn |
| Oct 3, 2020 | 26.27 Mn |
| Jul 11, 2020 | 46.88 Mn |
API Access
Flowers Foods Net Cash Flow 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=net-cash-flow&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();