Citi Trends (CTRN) Shares Outstanding (Diluted) (2010 - 2026)
Citi Trends' Shares Outstanding (Diluted) came in at 8.18 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.6% from 8.31 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Citi Trends (CTRN) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Citi Trends' Shares Outstanding (Diluted) was 8.3 million, down 0.2% from FY2025.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -4.3% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 8.32 million in FY2025 (+1.1%), 8.22 million in FY2024 (+0.1%), 8.22 million in FY2023 (-8.8%) and 9.01 million in FY2022 (-12.7%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 8.05 million (fiscal Q3 2026) to 9.01 million (fiscal Q4 2022).
- Year-over-year, Shares Outstanding (Diluted) increased in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2027 (growth of 3.8%), and the weakest in fiscal Q3 2022 (a decline of 16.0%).
- Business Quant data shows CTRN's Shares Outstanding (Diluted) at 8.48 million (Q1 2027), 8.3 million (Q4 2026) and 8.05 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 560.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 828.88 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 319.45 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 456.60 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 16.85 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 739.96 Mn |
| 10 | Citi Trends | 376.52 Mn | 122.34 Mn | 85.89 Mn | 8.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.18 Mn |
| May 2, 2026 | 8.48 Mn |
| Jan 31, 2026 | 8.30 Mn |
| Nov 1, 2025 | 8.05 Mn |
| Aug 2, 2025 | 8.31 Mn |
| May 3, 2025 | 8.17 Mn |
| Feb 1, 2025 | 8.32 Mn |
| Nov 2, 2024 | 8.36 Mn |
| Aug 3, 2024 | 8.34 Mn |
| May 4, 2024 | 8.25 Mn |
| Feb 3, 2024 | 8.22 Mn |
| Oct 28, 2023 | 8.24 Mn |
| Jul 29, 2023 | 8.23 Mn |
| Apr 29, 2023 | 8.18 Mn |
| Jan 28, 2023 | 8.22 Mn |
| Oct 29, 2022 | 8.16 Mn |
| Jul 30, 2022 | 8.16 Mn |
| Apr 30, 2022 | 8.41 Mn |
| Jan 29, 2022 | 9.01 Mn |
| Oct 30, 2021 | 8.79 Mn |
API Access
Citi Trends Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();