Kohls (KSS) Cash from Operations (2009 - 2026)
Kohls (KSS) recorded Cash from Operations of $552 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 7.7% from $598 million a year earlier.
Kohls (KSS) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Kohls' Cash from Operations came in at $1.35 billion as of Aug 1, 2026, up 49.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.38 billion, up 113.0% from FY2025.
- Annual Cash from Operations has a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at $648 million in FY2025 (-44.5%), $1.17 billion in FY2024 (+314.2%), $282 million in FY2023 (-87.6%) and $2.27 billion in FY2022 (+69.7%).
- Quarterly Cash from Operations has ranged from -$460 million in fiscal Q1 2023 to $789 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Cash from Operations rose in two of the last four quarters, with growth averaging 32.3%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 135.4% in fiscal Q2 2026, against a decline of 86.5% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$74 million (Q1 2027), $750 million (Q4 2026) and $124 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Kohls | 2.09 Bn | 23.80 Mn | 1.62 Bn | 552.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 552.00 Mn |
| May 2, 2026 | -74.00 Mn |
| Jan 31, 2026 | 750.00 Mn |
| Nov 1, 2025 | 124.00 Mn |
| Aug 2, 2025 | 598.00 Mn |
| May 3, 2025 | -92.00 Mn |
| Feb 1, 2025 | 596.00 Mn |
| Nov 2, 2024 | -195.00 Mn |
| Aug 3, 2024 | 254.00 Mn |
| May 4, 2024 | -7.00 Mn |
| Feb 3, 2024 | 789.00 Mn |
| Oct 28, 2023 | 151.00 Mn |
| Jul 29, 2023 | 430.00 Mn |
| Apr 29, 2023 | -202.00 Mn |
| Jan 28, 2023 | 707.00 Mn |
| Oct 29, 2022 | 121.00 Mn |
| Jul 30, 2022 | -86.00 Mn |
| Apr 30, 2022 | -460.00 Mn |
| Jan 29, 2022 | 497.00 Mn |
| Oct 30, 2021 | 82.00 Mn |
Kohls Cash from Operations 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=cash-from-operations&ticker=KSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=KSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();