Torrid Holdings (CURV) Receivables (2023 - 2025)
Torrid Holdings (CURV) posted Receivables of $100,000 for fiscal Q3 2026 (quarter ended Nov 1, 2025), unchanged from $100,000 a year earlier and unchanged from the prior quarter.
Torrid Holdings (CURV) Receivables (2023 - 2025) Analysis & Trends
Since fiscal Q4 2023, Torrid Holdings has reported Receivables for 11 quarters.
- In prior fiscal years, Torrid Holdings' Receivables was $100,000 in FY2024 (-50.0%) and $200,000 in FY2023.
- Quarterly Receivables has run from a low of $100,000 in fiscal Q4 2024 to a high of $9.8 million in fiscal Q2 2024 over five years.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $100,000 (Q2 2026), $100,000 (Q1 2026) and $100,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Torrid Holdings | 239.26 Mn | 157.18 Mn | 89.75 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 1, 2025 | 100,000.00 |
| Aug 2, 2025 | 100,000.00 |
| May 3, 2025 | 100,000.00 |
| Feb 1, 2025 | 100,000.00 |
| Nov 2, 2024 | 100,000.00 |
| Aug 3, 2024 | 100,000.00 |
| May 4, 2024 | 100,000.00 |
| Feb 3, 2024 | 100,000.00 |
| Oct 28, 2023 | 6.70 Mn |
| Jul 29, 2023 | 9.80 Mn |
| Jan 28, 2023 | 200,000.00 |
Torrid Holdings Receivables 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=receivables&ticker=CURV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "CURV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=CURV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();