Citi Trends (CTRN) Cash & Equivalents (2010 - 2026)
Citi Trends' Cash & Equivalents came in at $55.89 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.9% from $50.4 million a year earlier but down 31.1% from the prior quarter.
Citi Trends (CTRN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Citi Trends' Cash & Equivalents was $66.09 million, up 8.2% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -11.7% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $61.09 million in FY2025 (-23.4%), $79.71 million in FY2024 (-23.0%), $103.5 million in FY2023 (+107.9%) and $49.79 million in FY2022 (-59.6%).
- The five-year range for quarterly Cash & Equivalents is $12.02 million (fiscal Q3 2022) to $103.5 million (fiscal Q4 2023).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2023 (growth of 546.9%), and the weakest in fiscal Q3 2022 (a decline of 87.6%).
- Business Quant data shows CTRN's Cash & Equivalents at $81.1 million (Q1 2027), $66.09 million (Q4 2026) and $51.1 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 2.63 Bn |
| 10 | Citi Trends | 374.96 Mn | 120.78 Mn | 85.89 Mn | 55.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 55.89 Mn |
| May 2, 2026 | 81.10 Mn |
| Jan 31, 2026 | 66.09 Mn |
| Nov 1, 2025 | 51.10 Mn |
| Aug 2, 2025 | 50.40 Mn |
| May 3, 2025 | 41.56 Mn |
| Feb 1, 2025 | 61.09 Mn |
| Nov 2, 2024 | 38.87 Mn |
| Aug 3, 2024 | 59.30 Mn |
| May 4, 2024 | 58.17 Mn |
| Feb 3, 2024 | 79.71 Mn |
| Oct 28, 2023 | 59.73 Mn |
| Jul 29, 2023 | 65.82 Mn |
| Apr 29, 2023 | 88.71 Mn |
| Jan 28, 2023 | 103.50 Mn |
| Oct 29, 2022 | 77.77 Mn |
| Jul 30, 2022 | 27.91 Mn |
| Apr 30, 2022 | 61.66 Mn |
| Jan 29, 2022 | 49.79 Mn |
| Oct 30, 2021 | 12.02 Mn |
Citi Trends Cash & Equivalents 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=cash-and-equivalents&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();