Cato (CATO) Operating Leases (2019 - 2026)
Cato's Operating Leases came in at $90.79 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 19.4% from $76.02 million a year earlier but down 2.3% from the prior quarter.
Cato (CATO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cato's Operating Leases was $96.94 million, up 9.7% from FY2025.
- Operating Leases carries a five-year compound annual growth rate of -7.5% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $88.34 million in FY2025 (-4.0%), $92.01 million in FY2024 (-14.3%), $107.41 million in FY2023 (-8.6%) and $117.52 million in FY2022 (-18.0%).
- The five-year range for quarterly Operating Leases is $63.22 million (fiscal Q3 2025) to $117.72 million (fiscal Q3 2026).
- Year-over-year, Operating Leases has increased for five consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q3 2026 (growth of 86.2%), and the weakest in fiscal Q3 2022 (a decline of 38.8%).
- Business Quant data shows CATO's Operating Leases at $92.94 million (Q1 2027), $96.94 million (Q4 2026) and $117.72 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Cato | 43.89 Mn | -283.46 Mn | 55.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 90.79 Mn |
| May 2, 2026 | 92.94 Mn |
| Jan 31, 2026 | 96.94 Mn |
| Nov 1, 2025 | 117.72 Mn |
| Aug 2, 2025 | 76.02 Mn |
| May 3, 2025 | 80.07 Mn |
| Feb 1, 2025 | 88.34 Mn |
| Nov 2, 2024 | 63.22 Mn |
| Aug 3, 2024 | 72.35 Mn |
| May 4, 2024 | 81.83 Mn |
| Feb 3, 2024 | 92.01 Mn |
| Oct 28, 2023 | 71.14 Mn |
| Jul 29, 2023 | 105.39 Mn |
| Apr 29, 2023 | 105.77 Mn |
| Jan 28, 2023 | 107.41 Mn |
| Oct 29, 2022 | 85.62 Mn |
| Jul 30, 2022 | 97.00 Mn |
| Jan 29, 2022 | 117.52 Mn |
| Oct 30, 2021 | 84.64 Mn |
| Jul 31, 2021 | 95.05 Mn |
Cato Operating Leases 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=operating-leases&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();