Citi Trends (CTRN) Price to Earnings (2011 - 2026)
Citi Trends' (CTRN) Price to Earnings came in at 72.70 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 124.7% from the prior quarter.
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Analysis
Citi Trends (CTRN) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Citi Trends' Price to Earnings stood at 69.16.
- In prior fiscal years, Citi Trends' Price to Earnings was 4.56 in FY2023 (-31.1%) and 6.62 in FY2022 (-72.8%).
- The fiscal Q2 2027 figure stands as the highest quarterly Price to Earnings since fiscal Q1 2015.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q2 2024, with growth of 86.7%; the weakest was fiscal Q4 2022, with a decline of 72.8%.
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 | 72.70 |
| May 2, 2026 | 32.36 |
| Jan 31, 2026 | 65.44 |
| Jul 29, 2023 | 8.27 |
| Apr 29, 2023 | 6.51 |
| Jan 28, 2023 | 4.56 |
| Oct 29, 2022 | 3.04 |
| Jul 30, 2022 | 4.43 |
| Apr 30, 2022 | 3.87 |
| Jan 29, 2022 | 6.62 |
| Oct 30, 2021 | 9.43 |
| Jul 31, 2021 | 10.63 |
| May 1, 2021 | 12.88 |
| Jan 30, 2021 | 24.30 |
| Oct 31, 2020 | 18.07 |
| Aug 1, 2020 | 25.04 |
| Feb 1, 2020 | 15.29 |
| Nov 2, 2019 | 14.57 |
| Aug 3, 2019 | 11.91 |
| May 4, 2019 | 13.20 |
API Access
Citi Trends Price to Earnings 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=price-to-earnings&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();