Cato (CATO) EBITDA (2010 - 2026)
Cato's EBITDA came in at -$106.64 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$102.4 million a year earlier.
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Analysis
Cato (CATO) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Cato reported EBITDA of -$425.06 million; for FY2026 (ended Jan 31, 2026), it was -$429.07 million.
- Going back by fiscal year, EBITDA was -$442.74 million in FY2025, -$468.24 million in FY2024, -$496.81 million in FY2023 and -$401.74 million in FY2022.
- The five-year range for quarterly EBITDA is -$130 million (fiscal Q3 2023) to -$94.27 million (fiscal Q1 2027).
- Business Quant data shows CATO's EBITDA at -$94.27 million (Q1 2027), -$115.72 million (Q4 2026) and -$108.43 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Cato | 43.89 Mn | -283.46 Mn | 55.32 Mn | -106.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -106.64 Mn |
| May 2, 2026 | -94.27 Mn |
| Jan 31, 2026 | -115.72 Mn |
| Nov 1, 2025 | -108.43 Mn |
| Aug 2, 2025 | -102.40 Mn |
| May 3, 2025 | -102.52 Mn |
| Feb 1, 2025 | -122.87 Mn |
| Nov 2, 2024 | -114.97 Mn |
| Aug 3, 2024 | -106.06 Mn |
| May 4, 2024 | -98.84 Mn |
| Feb 3, 2024 | -128.76 Mn |
| Oct 28, 2023 | -113.68 Mn |
| Jul 29, 2023 | -112.65 Mn |
| Apr 29, 2023 | -113.16 Mn |
| Jan 28, 2023 | -123.50 Mn |
| Oct 29, 2022 | -130.00 Mn |
| Jul 30, 2022 | -125.52 Mn |
| Apr 30, 2022 | -117.80 Mn |
| Jan 29, 2022 | -112.85 Mn |
| Oct 30, 2021 | -98.16 Mn |
API Access
Cato EBITDA 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=ebitda&ticker=CATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();