Kohls (KSS) Shares Outstanding (Diluted) (2009 - 2026)
Kohls (KSS) recorded Shares Outstanding (Diluted) of 118 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.5% from 114 million a year earlier and up 5.4% from the prior quarter.
Kohls (KSS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Kohls reported Shares Outstanding (Diluted) of 114 million, up 1.8% from FY2025.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 112 million in FY2025 (+0.9%), 111 million in FY2024 (-7.5%), 120 million in FY2023 (-18.9%) and 148 million in FY2022 (-3.9%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2023.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for five consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 3.5% in fiscal Q2 2027, against a decline of 19.0% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 112 million (Q1 2027), 114 million (Q4 2026) and 115 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Kohls | 2.14 Bn | 74.81 Mn | 1.62 Bn | 118.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 118.00 Mn |
| May 2, 2026 | 112.00 Mn |
| Jan 31, 2026 | 114.00 Mn |
| Nov 1, 2025 | 115.00 Mn |
| Aug 2, 2025 | 114.00 Mn |
| May 3, 2025 | 111.00 Mn |
| Feb 1, 2025 | 112.00 Mn |
| Nov 2, 2024 | 112.00 Mn |
| Aug 3, 2024 | 112.00 Mn |
| May 4, 2024 | 111.00 Mn |
| Feb 3, 2024 | 111.00 Mn |
| Oct 28, 2023 | 111.00 Mn |
| Jul 29, 2023 | 111.00 Mn |
| Apr 29, 2023 | 111.00 Mn |
| Jan 28, 2023 | 120.00 Mn |
| Oct 29, 2022 | 119.00 Mn |
| Jul 30, 2022 | 128.00 Mn |
| Apr 30, 2022 | 129.00 Mn |
| Jan 29, 2022 | 148.00 Mn |
| Oct 30, 2021 | 147.00 Mn |
Kohls Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=KSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=KSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();