Citi Trends (CTRN) Price to FCF (2012 - 2026)
Citi Trends' Price to FCF came in at 85.47 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 512.9% from the prior quarter.
Analysis
Citi Trends (CTRN) Price to FCF (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Citi Trends' Price to FCF was 577.13.
- Going back by fiscal year, Price to FCF was 9.23 in FY2022 (+48.7%).
- The five-year range for quarterly Price to FCF is 8.65 (fiscal Q3 2022) to 577.13 (fiscal Q4 2026).
- Business Quant data shows CTRN's Price to FCF at 13.95 (Q1 2027), 577.13 (Q4 2026) and 24.89 (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 | 2,828.15 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 | 85.47 |
| May 2, 2026 | 13.95 |
| Jan 31, 2026 | 577.13 |
| Nov 1, 2025 | 24.89 |
| Jul 29, 2023 | 50.23 |
| Jan 29, 2022 | 9.23 |
| Oct 30, 2021 | 8.65 |
| Jul 31, 2021 | 8.15 |
| May 1, 2021 | 6.93 |
| Jan 30, 2021 | 6.21 |
| Oct 31, 2020 | 4.50 |
| Aug 1, 2020 | 3.25 |
| May 2, 2020 | 5.65 |
| Feb 1, 2020 | 13.69 |
| Nov 2, 2019 | 10.65 |
| Aug 3, 2019 | 8.81 |
| May 4, 2019 | 15.48 |
| Feb 2, 2019 | 14.45 |
| Nov 3, 2018 | 16.14 |
| Aug 4, 2018 | 13.88 |
API Access
Citi Trends Price 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=price-to-fcf&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();