Citi Trends (CTRN) Operating Expenses (2010 - 2026)
Citi Trends' Operating Expenses was $82.3 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 4.3% from $78.91 million a year earlier and up 3.2% from the prior quarter.
Citi Trends (CTRN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Citi Trends' Operating Expenses was $321.42 million through Aug 1, 2026, up 5.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $313.17 million, up 4.3% from FY2025.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $300.17 million in FY2025 (+5.5%), $284.53 million in FY2024 (+1.9%), $279.18 million in FY2023 (-9.2%) and $307.62 million in FY2022 (+18.2%).
- The fiscal Q2 2027 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q2 2011.
- Compared with a year earlier, Operating Expenses has increased for 13 straight quarters, with growth averaging 4.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 8.0%); the worst was fiscal Q4 2023 (a decline of 11.3%).
- Per Business Quant data, CTRN's Operating Expenses in the three fiscal quarters before Q2 2027 was $79.75 million (Q1 2027), $80.03 million (Q4 2026) and $79.35 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Citi Trends | 374.96 Mn | 120.78 Mn | 85.89 Mn | 82.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 82.30 Mn |
| May 2, 2026 | 79.75 Mn |
| Jan 31, 2026 | 80.03 Mn |
| Nov 1, 2025 | 79.35 Mn |
| Aug 2, 2025 | 78.91 Mn |
| May 3, 2025 | 74.89 Mn |
| Feb 1, 2025 | 77.45 Mn |
| Nov 2, 2024 | 74.73 Mn |
| Aug 3, 2024 | 73.78 Mn |
| May 4, 2024 | 74.21 Mn |
| Feb 3, 2024 | 74.53 Mn |
| Oct 28, 2023 | 69.65 Mn |
| Jul 29, 2023 | 69.54 Mn |
| Apr 29, 2023 | 70.81 Mn |
| Jan 28, 2023 | 70.58 Mn |
| Oct 29, 2022 | 69.09 Mn |
| Jul 30, 2022 | 68.48 Mn |
| Apr 30, 2022 | 71.03 Mn |
| Jan 29, 2022 | 79.56 Mn |
| Oct 30, 2021 | 74.78 Mn |
Citi Trends 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=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();