Ollie's Bargain Outlet Holdings (OLLI) EPS (Diluted) (2014 - 2026)
Ollie's Bargain Outlet Holdings' EPS (Diluted) came in at $1.42 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 43.0% from $0.99 a year earlier and up 53.9% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) EPS (Diluted) (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Ollie's Bargain Outlet Holdings reported EPS (Diluted) of $4.54, up 31.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.89, up 20.4% from FY2025.
- EPS (Diluted) has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- Going back by fiscal year, EPS (Diluted) was $3.23 in FY2025 (+10.6%), $2.92 in FY2024 (+78.3%), $1.64 in FY2023 (-32.5%) and $2.43 in FY2022 (-34.1%).
- The fiscal Q2 2027 figure represents the highest quarterly EPS (Diluted) since fiscal Q2 2021.
- Year-over-year, EPS (Diluted) has increased for six consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q2 2024 (growth of 202.9%), and the weakest in fiscal Q1 2023 (a decline of 76.2%).
- Business Quant data shows OLLI's EPS (Diluted) at $0.92 (Q1 2027), $1.38 (Q4 2026) and $0.75 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 38.07 |
| 10 | Ollie's Bargain Outlet Holdings | 5.08 Bn | 4.16 Bn | 322.17 Mn | 1.42 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.42 |
| May 2, 2026 | 0.92 |
| Jan 31, 2026 | 1.38 |
| Nov 1, 2025 | 0.75 |
| Aug 2, 2025 | 0.99 |
| May 3, 2025 | 0.77 |
| Feb 1, 2025 | 1.11 |
| Nov 2, 2024 | 0.58 |
| Aug 3, 2024 | 0.79 |
| May 4, 2024 | 0.75 |
| Feb 3, 2024 | 1.23 |
| Oct 28, 2023 | 0.51 |
| Jul 29, 2023 | 0.68 |
| Apr 29, 2023 | 0.50 |
| Jan 28, 2023 | 0.85 |
| Oct 29, 2022 | 0.37 |
| Jul 30, 2022 | 0.22 |
| Apr 30, 2022 | 0.20 |
| Jan 29, 2022 | 0.69 |
| Oct 30, 2021 | 0.36 |
Ollie's Bargain Outlet Holdings 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=OLLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "OLLI", "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=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();