Ollie's Bargain Outlet Holdings (OLLI) EBITDA (2014 - 2026)
Ollie's Bargain Outlet Holdings' EBITDA was $119.75 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 37.8% from $86.89 million a year earlier and up 41.7% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) EBITDA (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ollie's Bargain Outlet Holdings' EBITDA was $397.72 million through Aug 1, 2026, up 27.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $352.87 million, up 20.2% from FY2025.
- EBITDA has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $293.5 million in FY2025 (+11.7%), $262.7 million in FY2024 (+64.6%), $159.62 million in FY2023 (-30.4%) and $229.49 million in FY2022 (-23.5%).
- Quarterly EBITDA has moved between $23.54 million (fiscal Q2 2023) and $123.88 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, EBITDA has increased for six straight quarters, with growth averaging 18.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2024 (growth of 158.2%); the worst was fiscal Q1 2023 (a decline of 69.1%).
- Per Business Quant data, OLLI's EBITDA in the three fiscal quarters before Q2 2027 was $84.49 million (Q1 2027), $123.88 million (Q4 2026) and $69.6 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,844.63 Bn | 2,361.33 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.44 Bn | 305.69 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 161.57 Bn | 139.12 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.86 Bn | 102.82 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.17 Bn | 58.10 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.46 Bn | 72.55 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.83 Bn | 64.42 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.90 Bn | 50.80 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.53 Bn | 34.02 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Ollie's Bargain Outlet Holdings | 5.53 Bn | 4.61 Bn | 322.17 Mn | 119.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 119.76 Mn |
| May 2, 2026 | 84.51 Mn |
| Jan 31, 2026 | 123.89 Mn |
| Nov 1, 2025 | 69.62 Mn |
| Aug 2, 2025 | 86.90 Mn |
| May 3, 2025 | 68.97 Mn |
| Feb 1, 2025 | 100.29 Mn |
| Nov 2, 2024 | 56.21 Mn |
| Aug 3, 2024 | 70.76 Mn |
| May 4, 2024 | 66.25 Mn |
| Feb 3, 2024 | 107.38 Mn |
| Oct 28, 2023 | 48.14 Mn |
| Jul 29, 2023 | 60.85 Mn |
| Apr 29, 2023 | 46.63 Mn |
| Jan 28, 2023 | 75.49 Mn |
| Oct 29, 2022 | 36.90 Mn |
| Jul 30, 2022 | 23.61 Mn |
| Apr 30, 2022 | 23.87 Mn |
| Jan 29, 2022 | 64.18 Mn |
| Oct 30, 2021 | 36.62 Mn |
Ollie's Bargain Outlet Holdings EBITDA 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=ebitda&ticker=OLLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();