Kohls (KSS) EBITDA Margin (2009 - 2026)
Kohls (KSS) posted EBITDA Margin of 12.35% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.46 percentage points from 12.80% a year earlier but up 5.40 percentage points from the prior quarter.
Kohls (KSS) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA Margin at Kohls was 8.35%, up 0.30 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 8.53%, up 1.28 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of +4.69 percentage points (FY2021 to FY2026).
- In prior fiscal years, Kohls' EBITDA Margin was 7.25% in FY2025 (-1.14 pp), 8.39% in FY2024 (+2.56 pp), 5.82% in FY2023 (-7.13 pp) and 12.96% in FY2022 (+9.12 pp).
- Quarterly EBITDA Margin has run from a low of -1.69% in fiscal Q4 2023 to a high of 12.98% in fiscal Q3 2022 over five years.
- On a year-over-year basis, EBITDA Margin increased in three of the last eight quarters, with an average year-over-year change of +0.09 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2024, with a gain of 9.85 percentage points; the weakest was fiscal Q4 2023, with a drop of 11.80 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 6.95% (Q1 2027), 7.46% (Q4 2026) and 6.97% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 19.85% |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 12.60% |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 22.98% |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 10.15% |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.39% |
| 10 | Kohls | 2.08 Bn | 10.19 Mn | 1.62 Bn | 12.35% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 12.35% |
| May 2, 2026 | 6.95% |
| Jan 31, 2026 | 7.46% |
| Nov 1, 2025 | 6.97% |
| Aug 2, 2025 | 12.80% |
| May 3, 2025 | 7.27% |
| Feb 1, 2025 | 5.73% |
| Nov 2, 2024 | 7.60% |
| Aug 3, 2024 | 9.49% |
| May 4, 2024 | 6.83% |
| Feb 3, 2024 | 8.16% |
| Oct 28, 2023 | 8.51% |
| Jul 29, 2023 | 8.96% |
| Apr 29, 2023 | 8.01% |
| Jan 28, 2023 | -1.69% |
| Oct 29, 2022 | 9.40% |
| Jul 30, 2022 | 11.55% |
| Apr 30, 2022 | 7.59% |
| Jan 29, 2022 | 10.11% |
| Oct 30, 2021 | 12.98% |
Kohls 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=KSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "KSS", "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=KSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();