Hour Loop (HOUR) Shares Outstanding (2020 - 2026)
Hour Loop (HOUR) reported Shares Outstanding of 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 (2020 - 2026) Analysis & Trends
For FY2025, Hour Loop posted Shares Outstanding of 35.16 million, up 0.1% from FY2024.
- Shares Outstanding has increased for four consecutive years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 35.12 million in FY2024 (+0.2%), 35.07 million in FY2023 (+0.2%), 34.99 million in FY2022 (+5.1%) and 33.3 million in FY2021 (unchanged).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q4 2020.
- Year over year, Shares Outstanding has now increased in each of the last 15 quarters, with growth averaging 0.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.0% in Q4 2021 to 5.3% in Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at 35.18 million (Q1 2026), 35.16 million (Q4 2025) and 35.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 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 |
| Mar 31, 2022 | 35.03 Mn |
| Dec 31, 2021 | 33.30 Mn |
| Sep 30, 2021 | 33.30 Mn |
API Access
Hour Loop Shares Outstanding 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&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();