Cato (CATO) Inventory (2010 - 2026)
Cato's Inventory came in at $82.49 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 15.2% from $97.27 million a year earlier and down 10.8% from the prior quarter.
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Analysis
Cato (CATO) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cato's Inventory was $83.7 million, down 24.4% from FY2025.
- Inventory carries a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $110.74 million in FY2025 (+12.3%), $98.6 million in FY2024 (-12.0%), $112.06 million in FY2023 (-10.3%) and $124.91 million in FY2022 (+48.5%).
- The fiscal Q2 2027 figure represents the lowest quarterly Inventory since fiscal Q2 2022.
- Year-over-year, Inventory has declined for four consecutive quarters, with an average decline of 4.7% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q2 2023 (growth of 61.8%), and the weakest in fiscal Q4 2026 (a decline of 24.4%).
- Business Quant data shows CATO's Inventory at $92.49 million (Q1 2027), $83.7 million (Q4 2026) and $94.07 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 | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Cato | 43.89 Mn | -283.46 Mn | 55.32 Mn | 82.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 82.49 Mn |
| May 2, 2026 | 92.49 Mn |
| Jan 31, 2026 | 83.70 Mn |
| Nov 1, 2025 | 94.07 Mn |
| Aug 2, 2025 | 97.27 Mn |
| May 3, 2025 | 109.43 Mn |
| Feb 1, 2025 | 110.74 Mn |
| Nov 2, 2024 | 107.16 Mn |
| Aug 3, 2024 | 95.97 Mn |
| May 4, 2024 | 101.32 Mn |
| Feb 3, 2024 | 98.60 Mn |
| Oct 28, 2023 | 98.87 Mn |
| Jul 29, 2023 | 92.72 Mn |
| Apr 29, 2023 | 106.81 Mn |
| Jan 28, 2023 | 112.06 Mn |
| Oct 29, 2022 | 116.72 Mn |
| Jul 30, 2022 | 116.59 Mn |
| Apr 30, 2022 | 127.58 Mn |
| Jan 29, 2022 | 124.91 Mn |
| Oct 30, 2021 | 90.23 Mn |
API Access
Cato 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=CATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();