Ollie's Bargain Outlet Holdings (OLLI) EBIT (2014 - 2026)
Ollie's Bargain Outlet Holdings (OLLI) recorded EBIT of $108.48 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 40.9% from $76.97 million a year earlier and up 56.0% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) EBIT (2014 - 2026) Analysis & Trends
On a TTM basis, Ollie's Bargain Outlet Holdings' EBIT came in at $342.54 million as of Aug 1, 2026, up 29.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $297.67 million, up 19.3% from FY2025.
- Annual EBIT has increased for three straight fiscal years, with a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- Across earlier fiscal years, EBIT came in at $249.5 million in FY2025 (+9.5%), $227.8 million in FY2024 (+74.0%), $130.92 million in FY2023 (-36.0%) and $204.59 million in FY2022 (-26.3%).
- Quarterly EBIT has ranged from $16.55 million in fiscal Q2 2023 to $109.09 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EBIT has increased for five consecutive quarters, with growth averaging 17.9% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 217.5% in fiscal Q2 2024, against a decline of 75.9% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $69.56 million (Q1 2027), $109.09 million (Q4 2026) and $55.41 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Ollie's Bargain Outlet Holdings | 5.08 Bn | 4.16 Bn | 322.17 Mn | 108.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 108.48 Mn |
| May 2, 2026 | 69.56 Mn |
| Jan 31, 2026 | 109.09 Mn |
| Nov 1, 2025 | 55.41 Mn |
| Aug 2, 2025 | 76.97 Mn |
| May 3, 2025 | 56.19 Mn |
| Feb 1, 2025 | 87.73 Mn |
| Nov 2, 2024 | 44.52 Mn |
| Aug 3, 2024 | 60.76 Mn |
| May 4, 2024 | 56.50 Mn |
| Feb 3, 2024 | 97.65 Mn |
| Oct 28, 2023 | 39.07 Mn |
| Jul 29, 2023 | 52.54 Mn |
| Apr 29, 2023 | 38.54 Mn |
| Jan 28, 2023 | 67.70 Mn |
| Oct 29, 2022 | 29.53 Mn |
| Jul 30, 2022 | 16.55 Mn |
| Apr 30, 2022 | 17.15 Mn |
| Jan 29, 2022 | 57.45 Mn |
| Oct 30, 2021 | 30.21 Mn |
Ollie's Bargain Outlet Holdings EBIT 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=ebit&ticker=OLLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();