Citi Trends (CTRN) Retained Earnings (2011 - 2026)
Citi Trends (CTRN) posted Retained Earnings of $287.93 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.6% from $280.59 million a year earlier but down 0.3% from the prior quarter.
Citi Trends (CTRN) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Citi Trends' Retained Earnings came in at $281.11 million, up 1.9% from FY2025.
- Annual Retained Earnings shows a five-year compound annual growth rate of 6.0% (FY2021 to FY2026).
- In prior fiscal years, Citi Trends' Retained Earnings was $275.9 million in FY2025 (-13.5%), $319.07 million in FY2024 (-3.6%), $331.05 million in FY2023 (+21.6%) and $272.16 million in FY2022 (+29.6%).
- Quarterly Retained Earnings has run from a low of $262.32 million in fiscal Q3 2022 to a high of $331.05 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Retained Earnings has increased in each of the last three quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q3 2022, with growth of 36.7%; the weakest was fiscal Q4 2025, with a decline of 13.5%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $288.86 million (Q1 2027), $281.11 million (Q4 2026) and $273.7 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,804.57 Bn | 2,321.27 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 311.62 Bn | 304.86 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 161.81 Bn | 139.36 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 109.57 Bn | 102.53 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 75.07 Bn | 58.00 Bn | 2.12 Bn | 5.32 Bn |
| 6 | O Reilly Automotive | 73.56 Bn | 72.65 Bn | 2.52 Bn | -3.42 Bn |
| 7 | Target | 69.91 Bn | 64.50 Bn | 8.94 Bn | 10.89 Bn |
| 8 | Autozone | 51.70 Bn | 50.60 Bn | 2.52 Bn | -3.75 Bn |
| 9 | Carvana | 43.00 Bn | 33.49 Bn | 1.38 Bn | 551.00 Mn |
| 10 | Citi Trends | 389.20 Mn | 135.02 Mn | 85.89 Mn | 287.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 287.93 Mn |
| May 2, 2026 | 288.86 Mn |
| Jan 31, 2026 | 281.11 Mn |
| Nov 1, 2025 | 273.70 Mn |
| Aug 2, 2025 | 280.59 Mn |
| May 3, 2025 | 276.77 Mn |
| Feb 1, 2025 | 275.90 Mn |
| Nov 2, 2024 | 290.08 Mn |
| Aug 3, 2024 | 297.23 Mn |
| May 4, 2024 | 315.65 Mn |
| Feb 3, 2024 | 319.07 Mn |
| Oct 28, 2023 | 315.52 Mn |
| Jul 29, 2023 | 319.38 Mn |
| Apr 29, 2023 | 324.42 Mn |
| Jan 28, 2023 | 331.05 Mn |
| Oct 29, 2022 | 324.41 Mn |
| Jul 30, 2022 | 299.83 Mn |
| Apr 30, 2022 | 302.36 Mn |
| Jan 29, 2022 | 272.16 Mn |
| Oct 30, 2021 | 262.32 Mn |
Citi Trends Retained Earnings 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=retained-earnings&ticker=CTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();