Childrens Place (PLCE) Dividend Yield (2014 - 2020)
Childrens Place's Dividend Yield came in at 1.35% for FY2025 (year ended Feb 1, 2025).
Analysis
Childrens Place (PLCE) Dividend Yield (2014 - 2020) Analysis & Trends
Going back to FY2015, Childrens Place's Dividend Yield data covers 7 fiscal years.
- Dividend Yield carries a five-year change of -2.61 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Dividend Yield since FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Childrens Place | 46.92 Mn | 22.22 Mn | 83.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2020 | 2.29% |
| Aug 1, 2020 | 4.79% |
| May 2, 2020 | 6.36% |
| Feb 1, 2020 | 3.97% |
| Nov 2, 2019 | 2.69% |
| Aug 3, 2019 | 2.38% |
| May 4, 2019 | 1.84% |
| Feb 2, 2019 | 2.27% |
| Nov 3, 2018 | 1.24% |
| Aug 4, 2018 | 1.50% |
| May 5, 2018 | 1.45% |
| Feb 3, 2018 | 1.12% |
| Oct 28, 2017 | 1.29% |
| Jul 29, 2017 | 1.14% |
| Apr 29, 2017 | 0.90% |
| Jan 28, 2017 | 0.88% |
| Oct 29, 2016 | 1.06% |
| Jul 30, 2016 | 0.88% |
| Apr 30, 2016 | 1.30% |
| Jan 30, 2016 | 0.97% |
API Access
Childrens Place Dividend Yield 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=dividend-yield&ticker=PLCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "ticker": "PLCE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividend-yield&ticker=PLCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();