Hour Loop (HOUR) Shares Outstanding (Diluted) (2022 - 2026)
Hour Loop's Shares Outstanding (Diluted) came in at 35.19 million for Q2 2026, up 0.1% from 35.16 million a year earlier and unchanged from the prior quarter.
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Analysis
Hour Loop (HOUR) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Hour Loop's Shares Outstanding (Diluted) was 35.16 million, up 0.1% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last three years, with a three-year compound annual growth rate of 0.2% (FY2022 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 35.12 million in FY2024 (+0.2%), 35.07 million in FY2023 (+0.2%) and 34.99 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2022.
- Year-over-year, Shares Outstanding (Diluted) has increased for 13 consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.1% (Q2 2026) to 5.3% (Q3 2023).
- Business Quant data shows HOUR's Shares Outstanding (Diluted) at 35.18 million (Q1 2026), 35.16 million (Q4 2025) and 35.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Hour Loop | 68.98 Mn | 68.98 Mn | - | 35.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.19 Mn |
| Mar 31, 2026 | 35.18 Mn |
| Dec 31, 2025 | 35.16 Mn |
| Sep 30, 2025 | 35.17 Mn |
| Jun 30, 2025 | 35.16 Mn |
| Mar 31, 2025 | 35.15 Mn |
| Dec 31, 2024 | 35.12 Mn |
| Sep 30, 2024 | 35.13 Mn |
| Jun 30, 2024 | 35.11 Mn |
| Mar 31, 2024 | 35.10 Mn |
| Dec 31, 2023 | 35.07 Mn |
| Sep 30, 2023 | 35.06 Mn |
| Jun 30, 2023 | 35.06 Mn |
| Mar 31, 2023 | 35.05 Mn |
| Dec 31, 2022 | 34.99 Mn |
| Sep 30, 2022 | 33.30 Mn |
| Jun 30, 2022 | 34.94 Mn |
API Access
Hour Loop 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=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HOUR", "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=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();