Citi Trends (CTRN) Assets (2011 - 2026)
Citi Trends (CTRN) recorded Assets of $487.01 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.5% from $457.41 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Citi Trends (CTRN) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Citi Trends reported Assets of $471.17 million, up 1.8% from FY2025.
- Annual Assets has a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- Across earlier fiscal years, Assets came in at $462.77 million in FY2025 (-10.8%), $518.72 million in FY2024 (-4.7%), $544.26 million in FY2023 (+14.8%) and $474.03 million in FY2022 (-4.2%).
- Quarterly Assets has ranged from $437.41 million in fiscal Q1 2026 to $546.86 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with an average decline of 2.1% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 17.0% in fiscal Q3 2023, against a decline of 10.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $496.19 million (Q1 2027), $471.17 million (Q4 2026) and $464.26 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,835.96 Bn | 2,352.66 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 312.68 Bn | 305.92 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 162.06 Bn | 139.60 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 109.91 Bn | 102.87 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 75.37 Bn | 58.30 Bn | 2.12 Bn | 15.98 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.57 Bn | 2.52 Bn | 17.39 Bn |
| 7 | Target | 70.08 Bn | 64.67 Bn | 8.94 Bn | 61.24 Bn |
| 8 | Autozone | 51.82 Bn | 50.72 Bn | 2.52 Bn | 20.92 Bn |
| 9 | Carvana | 43.39 Bn | 33.88 Bn | 1.38 Bn | 14.55 Bn |
| 10 | Citi Trends | 386.50 Mn | 132.32 Mn | 85.89 Mn | 487.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 487.01 Mn |
| May 2, 2026 | 496.19 Mn |
| Jan 31, 2026 | 471.17 Mn |
| Nov 1, 2025 | 464.26 Mn |
| Aug 2, 2025 | 457.41 Mn |
| May 3, 2025 | 437.41 Mn |
| Feb 1, 2025 | 462.77 Mn |
| Nov 2, 2024 | 467.08 Mn |
| Aug 3, 2024 | 506.73 Mn |
| May 4, 2024 | 484.10 Mn |
| Feb 3, 2024 | 518.72 Mn |
| Oct 28, 2023 | 508.21 Mn |
| Jul 29, 2023 | 526.51 Mn |
| Apr 29, 2023 | 534.43 Mn |
| Jan 28, 2023 | 544.26 Mn |
| Oct 29, 2022 | 546.86 Mn |
| Jul 30, 2022 | 501.54 Mn |
| Apr 30, 2022 | 523.23 Mn |
| Jan 29, 2022 | 474.03 Mn |
| Oct 30, 2021 | 467.57 Mn |
API Access
Citi Trends Assets 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=assets&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();