Childrens Place (PLCE) EV to EBITDA (2010 - 2025)
Childrens Place's EV to EBITDA came in at 6.65 for fiscal Q3 2026 (quarter ended Nov 1, 2025), up 260.6% from the prior quarter.
Childrens Place (PLCE) EV to EBITDA (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Nov 1, 2025, Childrens Place reported EV to EBITDA of 5.83; for FY2025 (ended Feb 1, 2025), it came in at 4.62.
- Going back by fiscal year, EV to EBITDA was 10.34 in FY2023 (+273.6%) and 2.77 in FY2022.
- The fiscal Q3 2026 figure represents the highest quarterly EV to EBITDA since fiscal Q4 2023.
- Business Quant data shows PLCE's EV to EBITDA at 1.84 (Q2 2026), 4.13 (Q1 2026) and 4.62 (Q4 2025) in the three fiscal quarters before Q3 2026.
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
| Date | Value |
|---|---|
| Nov 1, 2025 | 6.65 |
| Aug 2, 2025 | 1.84 |
| May 3, 2025 | 4.13 |
| Feb 1, 2025 | 4.62 |
| Jan 28, 2023 | 10.34 |
| Oct 29, 2022 | 2.69 |
| Jul 30, 2022 | 2.30 |
| Apr 30, 2022 | 1.96 |
| Jan 29, 2022 | 2.77 |
| Oct 30, 2021 | 3.86 |
| Jul 31, 2021 | 5.81 |
| May 1, 2021 | 10.48 |
| Feb 1, 2020 | 4.75 |
| Nov 2, 2019 | 7.94 |
| Aug 3, 2019 | 8.60 |
| May 4, 2019 | 10.76 |
| Feb 2, 2019 | 7.71 |
| Nov 3, 2018 | 11.22 |
| Aug 4, 2018 | 8.87 |
| May 5, 2018 | 9.19 |
Childrens Place EV to EBITDA 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=ev-to-ebitda&ticker=PLCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PLCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();