Cato (CATO) EBITDA Margin (2010 - 2026)
Cato (CATO) recorded EBITDA Margin of -64.43% in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 6.42 percentage points from -58.02% a year earlier and down 9.34 percentage points from the prior quarter.
Cato (CATO) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Cato's EBITDA Margin came in at -66.04% as of Aug 1, 2026, up 1.99 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -65.63%, up 2.51 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of +19.80 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at -68.13% in FY2025 (-2.00 pp), -66.13% in FY2024 (-0.70 pp), -65.43% in FY2023 (-13.21 pp) and -52.22% in FY2022 (+33.21 pp).
- Quarterly EBITDA Margin has ranged from -78.65% in fiscal Q3 2025 to -55.10% in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in four of the last eight quarters, with an average year-over-year change of -0.18 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 21.99 percentage points in fiscal Q3 2022, against a drop of 18.56 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -55.10% (Q1 2027), -76.30% (Q4 2026) and -69.77% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,818.03 Bn | 2,334.73 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 311.69 Bn | 304.93 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 162.10 Bn | 139.65 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 109.55 Bn | 102.51 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 75.24 Bn | 58.17 Bn | 2.12 Bn | 19.85% |
| 6 | O Reilly Automotive | 73.35 Bn | 72.44 Bn | 2.52 Bn | 23.02% |
| 7 | Target | 69.75 Bn | 64.34 Bn | 8.94 Bn | 12.60% |
| 8 | Autozone | 51.60 Bn | 50.50 Bn | 2.52 Bn | 22.45% |
| 9 | Carvana | 43.25 Bn | 33.74 Bn | 1.38 Bn | 10.21% |
| 10 | Cato | 43.77 Mn | -283.58 Mn | 55.32 Mn | -64.43% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -64.43% |
| May 2, 2026 | -55.10% |
| Jan 31, 2026 | -76.30% |
| Nov 1, 2025 | -69.77% |
| Aug 2, 2025 | -58.02% |
| May 3, 2025 | -60.22% |
| Feb 1, 2025 | -77.81% |
| Nov 2, 2024 | -78.65% |
| Aug 3, 2024 | -62.89% |
| May 4, 2024 | -55.81% |
| Feb 3, 2024 | -73.63% |
| Oct 28, 2023 | -71.83% |
| Jul 29, 2023 | -61.60% |
| Apr 29, 2023 | -58.92% |
| Jan 28, 2023 | -68.97% |
| Oct 29, 2022 | -73.60% |
| Jul 30, 2022 | -63.76% |
| Apr 30, 2022 | -56.99% |
| Jan 29, 2022 | -64.03% |
| Oct 30, 2021 | -57.00% |
Cato EBITDA Margin 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-margin&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();