Citi Trends (CTRN) Enterprise Value (2010 - 2026)
Citi Trends' Enterprise Value came in at $499.31 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 161.1% from $191.22 million a year earlier and up 56.2% from the prior quarter.
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Analysis
Citi Trends (CTRN) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Citi Trends reported Enterprise Value of $301.02 million, up 508.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $294.03 million, up 83.4% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -8.5% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $160.3 million in FY2025 (+0.5%), $159.46 million in FY2024 (-3.3%), $164.85 million in FY2023 (-54.5%) and $361.94 million in FY2022 (-21.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Enterprise Value since fiscal Q3 2022.
- Year-over-year, Enterprise Value has increased for seven consecutive quarters, with growth averaging 72.7% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2022 (growth of 260.6%), and the weakest in fiscal Q3 2023 (a decline of 82.1%).
- Business Quant data shows CTRN's Enterprise Value at $319.69 million (Q1 2027), $294.03 million (Q4 2026) and $246.23 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,845.98 Bn | 2,362.67 Bn | 104.83 Bn |
| 2 | Home Depot | 312.38 Bn | 305.63 Bn | 16.12 Bn |
| 3 | Tjx Companies | 161.68 Bn | 139.23 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.80 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.24 Bn | 58.17 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.76 Bn | 64.35 Bn | 8.94 Bn |
| 8 | Autozone | 52.01 Bn | 50.91 Bn | 2.52 Bn |
| 9 | Carvana | 43.47 Bn | 33.96 Bn | 1.38 Bn |
| 10 | Citi Trends | 375.27 Mn | 121.09 Mn | 85.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 499.31 Mn |
| May 2, 2026 | 319.69 Mn |
| Jan 31, 2026 | 294.03 Mn |
| Nov 1, 2025 | 246.23 Mn |
| Aug 2, 2025 | 191.22 Mn |
| May 3, 2025 | 151.46 Mn |
| Feb 1, 2025 | 160.30 Mn |
| Nov 2, 2024 | 123.80 Mn |
| Aug 3, 2024 | 87.33 Mn |
| May 4, 2024 | 130.49 Mn |
| Feb 3, 2024 | 159.46 Mn |
| Oct 28, 2023 | 135.60 Mn |
| Jul 29, 2023 | 95.87 Mn |
| Apr 29, 2023 | 54.77 Mn |
| Jan 28, 2023 | 164.85 Mn |
| Oct 29, 2022 | 110.85 Mn |
| Jul 30, 2022 | 178.05 Mn |
| Apr 30, 2022 | 176.53 Mn |
| Jan 29, 2022 | 361.94 Mn |
| Oct 30, 2021 | 617.05 Mn |
API Access
Citi Trends Enterprise Value 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=enterprise-value&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();