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 | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Ollie's Bargain Outlet Holdings | 5.51 Bn | 4.59 Bn | 322.17 Mn | 236.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 236.69 Mn |
| May 2, 2026 | 227.03 Mn |
| Jan 31, 2026 | 225.53 Mn |
| Nov 1, 2025 | 216.83 Mn |
| Aug 2, 2025 | 210.51 Mn |
| May 3, 2025 | 198.26 Mn |
| Feb 1, 2025 | 202.04 Mn |
| Nov 2, 2024 | 184.56 Mn |
| Aug 3, 2024 | 175.90 Mn |
| May 4, 2024 | 171.82 Mn |
| Feb 3, 2024 | 156.10 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 |
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_KEY
import 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();