Cato (CATO) Assets (2010 - 2026)
Cato (CATO) recorded Assets of $423.44 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.1% from $436.89 million a year earlier and down 3.6% from the prior quarter.
Cato (CATO) Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cato reported Assets of $421.42 million, down 6.8% from FY2025.
- Annual Assets has declined for four straight fiscal years, with a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- Across earlier fiscal years, Assets came in at $452.36 million in FY2025 (-7.1%), $486.82 million in FY2024 (-12.0%), $553.14 million in FY2023 (-12.7%) and $633.77 million in FY2022 (+7.2%).
- Quarterly Assets has ranged from $421.42 million in fiscal Q4 2026 to $633.77 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Assets has declined for three consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 7.2% in fiscal Q4 2022, against a decline of 12.9% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $439.18 million (Q1 2027), $421.42 million (Q4 2026) and $450.23 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 15.98 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 17.39 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 61.24 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 20.92 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 14.55 Bn |
| 10 | Cato | 43.89 Mn | -283.46 Mn | 55.32 Mn | 423.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 423.44 Mn |
| May 2, 2026 | 439.18 Mn |
| Jan 31, 2026 | 421.42 Mn |
| Nov 1, 2025 | 450.23 Mn |
| Aug 2, 2025 | 436.89 Mn |
| May 3, 2025 | 440.81 Mn |
| Feb 1, 2025 | 452.36 Mn |
| Nov 2, 2024 | 424.41 Mn |
| Aug 3, 2024 | 455.57 Mn |
| May 4, 2024 | 477.15 Mn |
| Feb 3, 2024 | 486.82 Mn |
| Oct 28, 2023 | 487.37 Mn |
| Jul 29, 2023 | 507.67 Mn |
| Apr 29, 2023 | 534.64 Mn |
| Jan 28, 2023 | 553.14 Mn |
| Oct 29, 2022 | 540.55 Mn |
| Jul 30, 2022 | 560.82 Mn |
| Apr 30, 2022 | 612.03 Mn |
| Jan 29, 2022 | 633.77 Mn |
| Oct 30, 2021 | 587.16 Mn |
Cato Assets 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=assets&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "CATO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();