Torrid Holdings (CURV) Long-Term Debt Repayments (2020 - 2026)
Torrid Holdings (CURV) recorded Long-Term Debt Repayments of $149.6 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 32.1% from $113.26 million a year earlier but down 2.1% from the prior quarter.
Torrid Holdings (CURV) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Torrid Holdings' Long-Term Debt Repayments came in at $579.18 million as of Aug 1, 2026, up 253.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $440.54 million, up 528.9% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 54.1% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $70.05 million in FY2025 (-88.2%), $593.89 million in FY2024 (-27.9%), $824.26 million in FY2023 and $5.7 million in FY2022 (-88.8%).
- Quarterly Long-Term Debt Repayments has ranged from $5.7 million in fiscal Q4 2022 to $234.25 million in fiscal Q2 2023 over the past five years.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 714.3% in fiscal Q4 2022, against a decline of 63.8% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $152.79 million (Q1 2027), $130.62 million (Q4 2026) and $146.17 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,714.49 Bn | 2,231.19 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 319.37 Bn | 312.61 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 161.76 Bn | 139.30 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 112.46 Bn | 105.42 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.60 Bn | 73.69 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.50 Bn | 57.42 Bn | 2.12 Bn | - |
| 7 | Target | 69.87 Bn | 64.46 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.71 Bn | 51.61 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.24 Bn | 32.73 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Torrid Holdings | 218.13 Mn | 136.05 Mn | 89.75 Mn | 153.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 153.98 Mn |
| May 2, 2026 | 157.17 Mn |
| Jan 31, 2026 | 135.00 Mn |
| Nov 1, 2025 | 150.55 Mn |
| Aug 2, 2025 | 117.64 Mn |
| May 3, 2025 | 54.87 Mn |
| Feb 1, 2025 | 4.38 Mn |
| Nov 2, 2024 | 4.38 Mn |
| Aug 3, 2024 | 4.38 Mn |
| May 4, 2024 | 74.43 Mn |
| Feb 3, 2024 | 139.87 Mn |
| Oct 28, 2023 | 108.11 Mn |
| Jul 29, 2023 | 165.59 Mn |
| Apr 29, 2023 | 197.83 Mn |
| Jan 28, 2023 | 198.66 Mn |
| Oct 29, 2022 | 216.40 Mn |
| Jul 30, 2022 | 238.63 Mn |
| Apr 30, 2022 | 192.45 Mn |
| Jan 29, 2022 | 5.70 Mn |
| Jul 31, 2021 | 209.53 Mn |
Torrid Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CURV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CURV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();