Hour Loop (HOUR) EPS (Diluted) (2022 - 2026)
Hour Loop (HOUR) recorded EPS (Diluted) of $0.02 in Q1 2026, up 25.7% from $0.02 a year earlier.
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Analysis
Hour Loop (HOUR) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a TTM basis, Hour Loop's EPS (Diluted) came in at $0.05 as of Mar 31, 2026, up 660.6% year-over-year; for FY2025, it came in at $0.05, up 159.0% from FY2024.
- Across earlier years, EPS (Diluted) came in at $0.02 in FY2024, -$0.07 in FY2023 and -$0.04 in FY2022.
- Quarterly EPS (Diluted) has ranged from -$0.04 in Q4 2024 to $0.03 in Q2 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in three of the last four quarters, with growth averaging 20.2%.
- Per Business Quant, the preceding three quarters came in at -$0.02 (Q4 2025), $0.02 (Q3 2025) and $0.03 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 38.07 |
| 10 | Hour Loop | 68.98 Mn | 68.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.02 |
| Dec 31, 2025 | -0.02 |
| Sep 30, 2025 | 0.02 |
| Jun 30, 2025 | 0.03 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | -0.04 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.02 |
| Mar 31, 2024 | 0.03 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | -0.02 |
| Mar 31, 2023 | -0.04 |
| Dec 31, 2022 | -0.02 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | -0.01 |
API Access
Hour Loop EPS (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=eps-diluted&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();