Citi Trends (CTRN) Market Capitalization (2010 - 2026)
Citi Trends (CTRN) recorded Market Capitalization of $555.2 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 129.8% from $241.62 million a year earlier and up 38.5% from the prior quarter.
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Analysis
Citi Trends (CTRN) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Citi Trends reported Market Capitalization of $360.13 million, up 62.7% from FY2025.
- Annual Market Capitalization has a five-year compound annual growth rate of -9.2% (FY2021 to FY2026).
- Across earlier fiscal years, Market Capitalization came in at $221.39 million in FY2025 (-7.4%), $239.16 million in FY2024 (-10.9%), $268.35 million in FY2023 (-34.8%) and $411.73 million in FY2022 (-29.3%).
- The fiscal Q2 2027 figure is the highest quarterly Market Capitalization since fiscal Q3 2022.
- On a year-over-year basis, Market Capitalization has increased for six consecutive quarters, with growth averaging 53.2% over the last eight quarters.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 148.1% in fiscal Q3 2022, against a decline of 75.6% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $400.79 million (Q1 2027), $360.13 million (Q4 2026) and $297.32 million (Q3 2026).
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 | 555.20 Mn |
| May 2, 2026 | 400.79 Mn |
| Jan 31, 2026 | 360.13 Mn |
| Nov 1, 2025 | 297.32 Mn |
| Aug 2, 2025 | 241.62 Mn |
| May 3, 2025 | 193.26 Mn |
| Feb 1, 2025 | 221.39 Mn |
| Nov 2, 2024 | 162.68 Mn |
| Aug 3, 2024 | 146.63 Mn |
| May 4, 2024 | 188.66 Mn |
| Feb 3, 2024 | 239.16 Mn |
| Oct 28, 2023 | 195.32 Mn |
| Jul 29, 2023 | 161.69 Mn |
| Apr 29, 2023 | 143.48 Mn |
| Jan 28, 2023 | 268.35 Mn |
| Oct 29, 2022 | 188.62 Mn |
| Jul 30, 2022 | 205.97 Mn |
| Apr 30, 2022 | 238.19 Mn |
| Jan 29, 2022 | 411.73 Mn |
| Oct 30, 2021 | 664.53 Mn |
API Access
Citi Trends Market Capitalization 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=market-capitalization&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();