Buckle (BKE) Shares Outstanding (Diluted) (2009 - 2026)
Buckle's Shares Outstanding (Diluted) came in at 51.01 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.8% from 50.63 million a year earlier and unchanged from the prior quarter.
Buckle (BKE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Buckle's Shares Outstanding (Diluted) was 50.7 million, up 0.8% from FY2025.
- Shares Outstanding (Diluted) has increased in each of the last 16 fiscal years, with a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 50.31 million in FY2025 (+0.7%), 49.96 million in FY2024 (+0.7%), 49.63 million in FY2023 (+0.5%) and 49.39 million in FY2022 (+0.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q2 2010.
- Year-over-year, Shares Outstanding (Diluted) has increased for 41 consecutive quarters, with growth averaging 0.8% over the last eight quarters.
- Business Quant data shows BKE's Shares Outstanding (Diluted) at 51 million (Q1 2027), 50.7 million (Q4 2026) and 50.71 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 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 | 69.71 Bn | 68.80 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Buckle | 2.21 Bn | 1.02 Bn | 153.02 Mn | 51.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 51.01 Mn |
| May 2, 2026 | 51.00 Mn |
| Jan 31, 2026 | 50.70 Mn |
| Nov 1, 2025 | 50.71 Mn |
| Aug 2, 2025 | 50.63 Mn |
| May 3, 2025 | 50.54 Mn |
| Feb 1, 2025 | 50.31 Mn |
| Nov 2, 2024 | 50.30 Mn |
| Aug 3, 2024 | 50.22 Mn |
| May 4, 2024 | 50.17 Mn |
| Feb 3, 2024 | 49.96 Mn |
| Oct 28, 2023 | 49.94 Mn |
| Jul 29, 2023 | 49.88 Mn |
| Apr 29, 2023 | 49.86 Mn |
| Jan 28, 2023 | 49.63 Mn |
| Oct 29, 2022 | 49.60 Mn |
| Jul 30, 2022 | 49.54 Mn |
| Apr 30, 2022 | 49.53 Mn |
| Jan 29, 2022 | 49.39 Mn |
| Oct 30, 2021 | 49.36 Mn |
Buckle 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=BKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BKE", "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=BKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();