Citi Trends (CTRN) Revenue (2010 - 2026)
Citi Trends (CTRN) reported Revenue of $211.63 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.9% from $190.75 million a year earlier but down 8.3% from the prior quarter.
Citi Trends (CTRN) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Citi Trends' Revenue came in at $869.97 million, up 11.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $819.96 million, up 8.9% from FY2025.
- Revenue has a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $753.08 million in FY2025 (+0.7%), $747.94 million in FY2024 (-5.9%), $795.01 million in FY2023 (-19.8%) and $991.6 million in FY2022 (+26.6%).
- Five-year quarterly Revenue spans a low of $173.55 million in fiscal Q2 2024 and a high of $240.97 million in fiscal Q4 2022.
- Year over year, Revenue has now increased in each of the last six quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q3 2022 (growth of 14.5%); the low point was fiscal Q1 2023 (a decline of 27.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $230.86 million (Q1 2027), $230.39 million (Q4 2026) and $197.09 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 6.26 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 4.89 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 26.54 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 4.84 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 7.38 Bn |
| 10 | Citi Trends | 397.71 Mn | 143.53 Mn | 85.89 Mn | 211.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 211.63 Mn |
| May 2, 2026 | 230.86 Mn |
| Jan 31, 2026 | 230.39 Mn |
| Nov 1, 2025 | 197.09 Mn |
| Aug 2, 2025 | 190.75 Mn |
| May 3, 2025 | 201.73 Mn |
| Feb 1, 2025 | 211.17 Mn |
| Nov 2, 2024 | 179.07 Mn |
| Aug 3, 2024 | 176.55 Mn |
| May 4, 2024 | 186.29 Mn |
| Feb 3, 2024 | 215.18 Mn |
| Oct 28, 2023 | 179.52 Mn |
| Jul 29, 2023 | 173.55 Mn |
| Apr 29, 2023 | 179.69 Mn |
| Jan 28, 2023 | 209.46 Mn |
| Oct 29, 2022 | 192.32 Mn |
| Jul 30, 2022 | 185.01 Mn |
| Apr 30, 2022 | 208.22 Mn |
| Jan 29, 2022 | 240.97 Mn |
| Oct 30, 2021 | 227.96 Mn |
Citi Trends Revenue 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=revenue&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();