Flowers Foods (FLO) Acquisitions (2010 - 2025)
Flowers Foods (FLO) reported Acquisitions of $791.93 million for FY2026.
Analysis
Flowers Foods (FLO) Acquisitions (2010 - 2025) Analysis & Trends
Dating back to FY2009, Flowers Foods' Acquisitions record includes 10 years.
- Acquisitions has a four-year compound annual growth rate of 206.3% (FY2022 to FY2026).
- The FY2026 figure ranks as the highest annual Acquisitions in data going back to FY2009.
- According to Business Quant data, Acquisitions came in at $274.76 million in FY2023 and $9 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | 378.00 Mn |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2025 | 48,000.00 |
| Apr 19, 2025 | 791.88 Mn |
| Jul 15, 2023 | 4.30 Mn |
| Apr 22, 2023 | 270.45 Mn |
| Jan 2, 2016 | 109.37 Mn |
| Apr 19, 2014 | 355.34 Mn |
| Dec 28, 2013 | 341,000.00 |
| Oct 5, 2013 | 365.34 Mn |
| Jul 13, 2013 | 179,000.00 |
| Apr 20, 2013 | 49.95 Mn |
| Dec 29, 2012 | 50,000.00 |
| Jan 2, 2010 | 15.72 Mn |
API Access
Flowers Foods Acquisitions 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=acquisitions&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();