Citi Trends (CTRN) EV to FCF (2012 - 2026)
Citi Trends' (CTRN) EV to FCF was 76.86 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 591.0% from the prior quarter.
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Analysis
Citi Trends (CTRN) EV to FCF (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Citi Trends' EV to FCF came in at 46.34; for FY2026 (ended Jan 31, 2026), it was 471.21.
- By fiscal year, EV to FCF came in at 8.11 in FY2022 (+65.8%).
- Five-year quarterly EV to FCF spans a low of 8.04 in fiscal Q3 2022 and a high of 471.21 in fiscal Q4 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 11.12 (Q1 2027), 471.21 (Q4 2026) and 20.61 (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 | 76.86 |
| May 2, 2026 | 11.12 |
| Jan 31, 2026 | 471.21 |
| Nov 1, 2025 | 20.61 |
| Jul 29, 2023 | 29.78 |
| Jan 29, 2022 | 8.11 |
| Oct 30, 2021 | 8.04 |
| Jul 31, 2021 | 7.02 |
| May 1, 2021 | 6.00 |
| Jan 30, 2021 | 4.89 |
| Oct 31, 2020 | 2.93 |
| Aug 1, 2020 | 0.65 |
| May 2, 2020 | 0.42 |
| Feb 1, 2020 | 11.11 |
| Nov 2, 2019 | 7.81 |
| Aug 3, 2019 | 5.60 |
| May 4, 2019 | 10.71 |
| Feb 2, 2019 | 10.48 |
| Nov 3, 2018 | 12.68 |
| Aug 4, 2018 | 11.01 |
API Access
Citi Trends EV to FCF 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-fcf&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();