Childrens Place (PLCE) Total Liabilities (2009 - 2026)
Childrens Place's Total Liabilities was $881.28 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.8% from $809.96 million a year earlier and up 5.4% from the prior quarter.
Childrens Place (PLCE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Childrens Place came in at $724.48 million, down 10.2% from FY2025.
- Total Liabilities has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $806.96 million in FY2025 (-0.3%), $809.33 million in FY2024 (-2.2%), $827.8 million in FY2023 (+1.9%) and $811.99 million in FY2022 (-22.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities since fiscal Q3 2025.
- Compared with a year earlier, Total Liabilities was higher in three of the last eight quarters, with an average decline of 4.1%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2025 (growth of 9.7%); the worst was fiscal Q3 2022 (a decline of 23.3%).
- Per Business Quant data, PLCE's Total Liabilities in the three fiscal quarters before Q2 2027 was $836.41 million (Q1 2027), $724.48 million (Q4 2026) and $771.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Childrens Place | 46.92 Mn | 22.22 Mn | 83.28 Mn | 881.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 881.28 Mn |
| May 2, 2026 | 836.41 Mn |
| Jan 31, 2026 | 724.48 Mn |
| Nov 1, 2025 | 771.12 Mn |
| Aug 2, 2025 | 809.96 Mn |
| May 3, 2025 | 778.19 Mn |
| Feb 1, 2025 | 806.96 Mn |
| Nov 2, 2024 | 938.37 Mn |
| Aug 3, 2024 | 990.29 Mn |
| May 4, 2024 | 883.19 Mn |
| Feb 3, 2024 | 809.33 Mn |
| Oct 28, 2023 | 855.31 Mn |
| Jul 29, 2023 | 937.16 Mn |
| Apr 29, 2023 | 889.05 Mn |
| Jan 28, 2023 | 827.80 Mn |
| Oct 29, 2022 | 872.44 Mn |
| Jul 30, 2022 | 990.28 Mn |
| Apr 30, 2022 | 931.34 Mn |
| Jan 29, 2022 | 811.99 Mn |
| Oct 30, 2021 | 866.12 Mn |
Childrens Place Total Liabilities 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=total-liabilities&ticker=PLCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PLCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();