Citi Trends (CTRN) EBITDA (2010 - 2026)
Citi Trends (CTRN) recorded EBITDA of $3.74 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 53.6% from $8.07 million a year earlier and down 70.0% from the prior quarter.
Citi Trends (CTRN) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Citi Trends' EBITDA came in at $25.63 million as of Aug 1, 2026, up 76.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $22.33 million.
- Annual EBITDA has a five-year compound annual growth rate of -15.3% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at -$20.67 million in FY2025, -$464,000 in FY2024, $95.9 million in FY2023 (-4.0%) and $99.91 million in FY2022 (+95.2%).
- Quarterly EBITDA has ranged from -$20.11 million in fiscal Q2 2025 to $45.1 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last four quarters, with growth averaging 45.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 156.9% in fiscal Q1 2027, against a decline of 90.9% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.48 million (Q1 2027), $12.13 million (Q4 2026) and -$2.72 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,806.29 Bn | 2,322.99 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 310.94 Bn | 304.18 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 161.52 Bn | 139.06 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.34 Bn | 102.30 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.89 Bn | 57.81 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.53 Bn | 72.61 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.79 Bn | 64.38 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.62 Bn | 50.52 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.22 Bn | 33.71 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Citi Trends | 393.13 Mn | 138.95 Mn | 85.89 Mn | 3.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.74 Mn |
| May 2, 2026 | 12.48 Mn |
| Jan 31, 2026 | 12.13 Mn |
| Nov 1, 2025 | -2.72 Mn |
| Aug 2, 2025 | 8.07 Mn |
| May 3, 2025 | 4.86 Mn |
| Feb 1, 2025 | 5.69 Mn |
| Nov 2, 2024 | -4.07 Mn |
| Aug 3, 2024 | -20.11 Mn |
| May 4, 2024 | -2.18 Mn |
| Feb 3, 2024 | 8.78 Mn |
| Oct 28, 2023 | -1.25 Mn |
| Jul 29, 2023 | -3.22 Mn |
| Apr 29, 2023 | -4.78 Mn |
| Jan 28, 2023 | 12.20 Mn |
| Oct 29, 2022 | 36.66 Mn |
| Jul 30, 2022 | 1.94 Mn |
| Apr 30, 2022 | 45.10 Mn |
| Jan 29, 2022 | 17.75 Mn |
| Oct 30, 2021 | 17.10 Mn |
Citi Trends EBITDA 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=ebitda&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();