Citi Trends (CTRN) Total Liabilities (2011 - 2026)
Citi Trends' Total Liabilities came in at $362.36 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.3% from $344.17 million a year earlier but down 2.3% from the prior quarter.
Citi Trends (CTRN) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Citi Trends' Total Liabilities was $354.85 million, up 1.5% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $349.59 million in FY2025 (-3.2%), $361.02 million in FY2024 (-4.4%), $377.81 million in FY2023 (+5.6%) and $357.88 million in FY2022 (+8.1%).
- The five-year range for quarterly Total Liabilities is $328.85 million (fiscal Q1 2026) to $388.39 million (fiscal Q3 2023).
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2027 (growth of 12.8%), and the weakest in fiscal Q1 2025 (a decline of 12.1%).
- Business Quant data shows CTRN's Total Liabilities at $370.85 million (Q1 2027), $354.85 million (Q4 2026) and $356.43 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,804.57 Bn | 2,321.27 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 311.62 Bn | 304.86 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 161.81 Bn | 139.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.57 Bn | 102.53 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.07 Bn | 58.00 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.56 Bn | 72.65 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.91 Bn | 64.50 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.70 Bn | 50.60 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.00 Bn | 33.49 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Citi Trends | 389.20 Mn | 135.02 Mn | 85.89 Mn | 362.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 362.36 Mn |
| May 2, 2026 | 370.85 Mn |
| Jan 31, 2026 | 354.85 Mn |
| Nov 1, 2025 | 356.43 Mn |
| Aug 2, 2025 | 344.17 Mn |
| May 3, 2025 | 328.85 Mn |
| Feb 1, 2025 | 349.59 Mn |
| Nov 2, 2024 | 336.81 Mn |
| Aug 3, 2024 | 370.14 Mn |
| May 4, 2024 | 329.27 Mn |
| Feb 3, 2024 | 361.02 Mn |
| Oct 28, 2023 | 355.15 Mn |
| Jul 29, 2023 | 370.55 Mn |
| Apr 29, 2023 | 374.47 Mn |
| Jan 28, 2023 | 377.81 Mn |
| Oct 29, 2022 | 388.39 Mn |
| Jul 30, 2022 | 367.93 Mn |
| Apr 30, 2022 | 382.05 Mn |
| Jan 29, 2022 | 357.88 Mn |
| Oct 30, 2021 | 358.31 Mn |
Citi Trends Total Liabilities 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=total-liabilities&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();