Citi Trends (CTRN) Other Operating Expenses (2024 - 2026)
Citi Trends' Other Operating Expenses was $27.11 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.1% from $26.55 million a year earlier.
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Analysis
Citi Trends (CTRN) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Citi Trends' Other Operating Expenses was $54.18 million through Aug 1, 2026, down 45.6% year-over-year; for FY2025 (ended Feb 1, 2025), it was $95.66 million, up 14.7% from FY2024.
- In earlier fiscal years, Other Operating Expenses was $83.41 million in FY2024 (+4.2%) and $80.04 million in FY2023.
- The fiscal Q2 2027 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Citi Trends | 374.96 Mn | 120.78 Mn | 85.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 27.11 Mn |
| Nov 1, 2025 | 27.08 Mn |
| Aug 2, 2025 | 26.55 Mn |
| May 3, 2025 | 24.24 Mn |
| Feb 1, 2025 | 24.85 Mn |
| Nov 2, 2024 | 23.99 Mn |
| Aug 3, 2024 | 23.69 Mn |
| May 4, 2024 | 23.12 Mn |
API Access
Citi Trends Other 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=other-operating-expenses&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CTRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();