Torrid Holdings (CURV) Operating Expenses (2020 - 2026)
Torrid Holdings (CURV) posted Operating Expenses of $61.88 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 12.2% from $70.51 million a year earlier and down 2.9% from the prior quarter.
Torrid Holdings (CURV) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Operating Expenses at Torrid Holdings was $254.25 million, down 12.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $269.18 million, down 10.9% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- In prior fiscal years, Torrid Holdings' Operating Expenses was $302.03 million in FY2025 (+3.0%), $293.33 million in FY2024 (-1.6%), $297.97 million in FY2023 (-32.2%) and $439.41 million in FY2022 (+88.8%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Operating Expenses since fiscal Q2 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last seven quarters, with an average decline of 8.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2023, with growth of 10.7%; the weakest was fiscal Q2 2023, with a decline of 57.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $63.71 million (Q1 2027), $62.4 million (Q4 2026) and $66.26 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Torrid Holdings | 239.26 Mn | 157.18 Mn | 89.75 Mn | 61.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 61.88 Mn |
| May 2, 2026 | 63.71 Mn |
| Jan 31, 2026 | 62.40 Mn |
| Nov 1, 2025 | 66.26 Mn |
| Aug 2, 2025 | 70.51 Mn |
| May 3, 2025 | 70.02 Mn |
| Feb 1, 2025 | 73.83 Mn |
| Nov 2, 2024 | 74.90 Mn |
| Aug 3, 2024 | 76.84 Mn |
| May 4, 2024 | 76.47 Mn |
| Feb 3, 2024 | 80.63 Mn |
| Oct 28, 2023 | 71.88 Mn |
| Jul 29, 2023 | 69.59 Mn |
| Apr 29, 2023 | 71.23 Mn |
| Jan 28, 2023 | 77.84 Mn |
| Oct 29, 2022 | 69.35 Mn |
| Jul 30, 2022 | 78.57 Mn |
| Apr 30, 2022 | 72.22 Mn |
| Jan 29, 2022 | 70.29 Mn |
| Oct 30, 2021 | 71.05 Mn |
Torrid Holdings Operating Expenses 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=operating-expenses&ticker=CURV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CURV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();