Kohls (KSS) Cost of Revenue (2009 - 2026)
Kohls (KSS) posted Cost of Revenue of $1.89 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.9% from $2.01 billion a year earlier but up 5.0% from the prior quarter.
Kohls (KSS) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Cost of Revenue at Kohls was $9.08 billion, down 4.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $9.23 billion, down 4.5% from FY2025.
- Annual Cost of Revenue has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- In prior fiscal years, Kohls' Cost of Revenue was $9.66 billion in FY2025 (-8.0%), $10.5 billion in FY2024 (-8.4%), $11.46 billion in FY2023 (+0.2%) and $11.44 billion in FY2022 (+10.4%).
- Quarterly Cost of Revenue has run from a low of $1.8 billion in fiscal Q1 2027 to a high of $4.44 billion in fiscal Q4 2023 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last 14 quarters, with an average decline of 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2022, with growth of 8.2%; the weakest was fiscal Q4 2024, with a decline of 13.1%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $1.8 billion (Q1 2027), $3.32 billion (Q4 2026) and $2.06 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Kohls | 2.13 Bn | 64.61 Mn | 1.62 Bn | 1.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.89 Bn |
| May 2, 2026 | 1.80 Bn |
| Jan 31, 2026 | 3.32 Bn |
| Nov 1, 2025 | 2.06 Bn |
| Aug 2, 2025 | 2.01 Bn |
| May 3, 2025 | 1.83 Bn |
| Feb 1, 2025 | 3.47 Bn |
| Nov 2, 2024 | 2.14 Bn |
| Aug 3, 2024 | 2.13 Bn |
| May 4, 2024 | 1.92 Bn |
| Feb 3, 2024 | 3.86 Bn |
| Oct 28, 2023 | 2.35 Bn |
| Jul 29, 2023 | 2.24 Bn |
| Apr 29, 2023 | 2.05 Bn |
| Jan 28, 2023 | 4.44 Bn |
| Oct 29, 2022 | 2.54 Bn |
| Jul 30, 2022 | 2.33 Bn |
| Apr 30, 2022 | 2.14 Bn |
| Jan 29, 2022 | 4.16 Bn |
| Oct 30, 2021 | 2.62 Bn |
Kohls Cost of Revenue 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=cost-of-revenue&ticker=KSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=KSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();