Citi Trends (CTRN) EV to EBIT (2011 - 2026)
Citi Trends' EV to EBIT came in at 90.55 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 204.2% from the prior quarter.
Citi Trends (CTRN) EV to EBIT (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Citi Trends reported EV to EBIT of 54.59; for FY2026 (ended Jan 31, 2026), it was 76.33.
- Going back by fiscal year, EV to EBIT was 2.19 in FY2023 (-51.9%) and 4.55 in FY2022 (-68.4%).
- The fiscal Q2 2027 figure represents the highest quarterly EV to EBIT in data going back to fiscal Q1 2012.
- The fastest year-over-year change in EV to EBIT over five years came in fiscal Q2 2024 (growth of 50.8%), and the weakest in fiscal Q3 2023 (a decline of 79.9%).
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
| Date | Value |
|---|---|
| Aug 1, 2026 | 90.55 |
| May 2, 2026 | 29.77 |
| Jan 31, 2026 | 76.33 |
| Jul 29, 2023 | 4.44 |
| Apr 29, 2023 | 2.09 |
| Jan 28, 2023 | 2.19 |
| Oct 29, 2022 | 1.38 |
| Jul 30, 2022 | 2.94 |
| Apr 30, 2022 | 2.20 |
| Jan 29, 2022 | 4.55 |
| Oct 30, 2021 | 6.81 |
| Jul 31, 2021 | 7.08 |
| May 1, 2021 | 8.58 |
| Jan 30, 2021 | 14.39 |
| Oct 31, 2020 | 9.28 |
| Aug 1, 2020 | 4.25 |
| Feb 1, 2020 | 11.04 |
| Nov 2, 2019 | 9.57 |
| Aug 3, 2019 | 6.81 |
| May 4, 2019 | 8.07 |
Citi Trends EV to EBIT 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=ev-to-ebit&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();