Ollie's Bargain Outlet Holdings (OLLI) Operating Expenses (2014 - 2026)
Ollie's Bargain Outlet Holdings' Operating Expenses came in at $236.69 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.4% from $210.51 million a year earlier and up 4.3% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Ollie's Bargain Outlet Holdings reported Operating Expenses of $906.07 million, up 13.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $851.13 million, up 15.9% from FY2025.
- Operating Expenses has increased in each of the last 12 fiscal years, with a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $734.31 million in FY2025 (+8.9%), $674.41 million in FY2024 (+13.9%), $592.13 million in FY2023 (+32.3%) and $447.62 million in FY2022 (+6.9%).
- The fiscal Q2 2027 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q2 2015.
- Year-over-year, Operating Expenses has increased for 45 consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.3% (fiscal Q4 2022) to 31.9% (fiscal Q1 2025).
- Business Quant data shows OLLI's Operating Expenses at $227.03 million (Q1 2027), $225.53 million (Q4 2026) and $216.83 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 173.87 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 805.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 5.73 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 1.71 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 2.20 Bn |
| 10 | Ollie's Bargain Outlet Holdings | 5.66 Bn | 4.74 Bn | 322.17 Mn | 236.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 236.69 Mn |
| May 2, 2026 | 227.03 Mn |
| Nov 1, 2025 | 216.83 Mn |
| Aug 2, 2025 | 210.51 Mn |
| May 3, 2025 | 198.26 Mn |
| Nov 2, 2024 | 184.56 Mn |
| Aug 3, 2024 | 175.90 Mn |
| May 4, 2024 | 171.82 Mn |
| Oct 28, 2023 | 141.68 Mn |
| Jul 29, 2023 | 134.62 Mn |
| Apr 29, 2023 | 130.27 Mn |
| Jan 28, 2023 | 131.02 Mn |
| Oct 29, 2022 | 124.81 Mn |
| Jul 30, 2022 | 118.47 Mn |
| Apr 30, 2022 | 116.27 Mn |
| Jan 29, 2022 | 119.08 Mn |
| Oct 30, 2021 | 114.05 Mn |
| Jul 31, 2021 | 110.12 Mn |
| May 1, 2021 | 104.37 Mn |
| Jan 30, 2021 | 114.19 Mn |
Ollie's Bargain Outlet Holdings Operating Expenses 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=operating-expenses&ticker=OLLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();