Flowers Foods, Inc. (FLO)
7.77
+0.11
(+1.44%)
USD |
NYSE |
Jun 10, 16:00
7.77
0.00 (0.00%)
Pre-Market: 08:13
Flowers Foods PE Value
PE Value Chart
Sep '18
Jan '19
May '19
285.00
270.00
255.00
240.00
Historical PE Value Data
| Date | Value |
|---|---|
| April 30, 2026 | -- |
| December 31, 2025 | -- |
| September 30, 2025 | -- |
| July 31, 2025 | -- |
| April 30, 2025 | -- |
| December 31, 2024 | -- |
| September 30, 2024 | -- |
| July 31, 2024 | -- |
| April 30, 2024 | -- |
| December 31, 2023 | -- |
| September 30, 2023 | -- |
| July 31, 2023 | -- |
| April 30, 2023 | -- |
| December 31, 2022 | -- |
| September 30, 2022 | -- |
| July 31, 2022 | -- |
| April 30, 2022 | -- |
| December 31, 2021 | -- |
| September 30, 2021 | -- |
| July 31, 2021 | -- |
| April 30, 2021 | -- |
| December 31, 2020 | -- |
| September 30, 2020 | -- |
| July 31, 2020 | -- |
| April 30, 2020 | -- |
| Date | Value |
|---|---|
| December 31, 2019 | -- |
| September 30, 2019 | -- |
| July 31, 2019 | -- |
| April 30, 2019 | -- |
| December 31, 2018 | -- |
| September 30, 2018 | -- |
| July 31, 2018 | -- |
| April 30, 2018 | -- |
| December 31, 2017 | -- |
| September 30, 2017 | -- |
| July 31, 2017 | -- |
| April 30, 2017 | -- |
| December 31, 2016 | -- |
| September 30, 2016 | -- |
| July 31, 2016 | -- |
| April 30, 2016 | -- |
| December 31, 2015 | -- |
| October 31, 2015 | -- |
| July 31, 2015 | -- |
| April 30, 2015 | -- |
| December 31, 2014 | -- |
| September 30, 2014 | -- |
| July 31, 2014 | -- |
| April 30, 2014 | -- |
| December 31, 2013 | -- |
PE Value (Pro) Definition
This valuation method corrects for any recent price appreciations for discounts by assuming that the value of the company will be in line with its historical valuations based on PE ratios. It will show companies that have recently increased in price, without an accompanying increase in earnings, to be overvalued, and it will show companies with a recent decrease in price, without an accompanying decrease in earnings, to be undervalued.
PE Value Range, Past 5 Years
--
Minimum
--
Maximum
--
Average
--
Median