Citi Trends (CTRN) Inventory (2011 - 2026)
Citi Trends' Inventory came in at $126.39 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.5% from $117.57 million a year earlier and up 9.7% from the prior quarter.
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Analysis
Citi Trends (CTRN) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Citi Trends' Inventory was $113.52 million, down 7.4% from FY2025.
- Inventory carries a five-year compound annual growth rate of 1.8% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $122.64 million in FY2025 (-6.0%), $130.43 million in FY2024 (+23.3%), $105.79 million in FY2023 (-14.6%) and $123.84 million in FY2022 (+19.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Inventory since fiscal Q3 2025.
- Year-over-year, Inventory increased in two of the last eight quarters, with an average decline of 3.3%.
- The fastest year-over-year change in Inventory over five years came in fiscal Q1 2023 (growth of 27.4%), and the weakest in fiscal Q4 2023 (a decline of 14.6%).
- Business Quant data shows CTRN's Inventory at $115.25 million (Q1 2027), $113.52 million (Q4 2026) and $123.54 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,845.98 Bn | 2,362.67 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.38 Bn | 305.63 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 161.68 Bn | 139.23 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.80 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.24 Bn | 58.17 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 69.76 Bn | 64.35 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.01 Bn | 50.91 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.47 Bn | 33.96 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Citi Trends | 375.27 Mn | 121.09 Mn | 85.89 Mn | 126.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 126.39 Mn |
| May 2, 2026 | 115.25 Mn |
| Jan 31, 2026 | 113.52 Mn |
| Nov 1, 2025 | 123.54 Mn |
| Aug 2, 2025 | 117.57 Mn |
| May 3, 2025 | 109.93 Mn |
| Feb 1, 2025 | 122.64 Mn |
| Nov 2, 2024 | 127.51 Mn |
| Aug 3, 2024 | 135.00 Mn |
| May 4, 2024 | 119.01 Mn |
| Feb 3, 2024 | 130.43 Mn |
| Oct 28, 2023 | 129.73 Mn |
| Jul 29, 2023 | 134.47 Mn |
| Apr 29, 2023 | 114.32 Mn |
| Jan 28, 2023 | 105.79 Mn |
| Oct 29, 2022 | 128.51 Mn |
| Jul 30, 2022 | 142.10 Mn |
| Apr 30, 2022 | 129.72 Mn |
| Jan 29, 2022 | 123.84 Mn |
| Oct 30, 2021 | 126.90 Mn |
API Access
Citi Trends Inventory 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=inventory&ticker=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();