Ollie's Bargain Outlet Holdings (OLLI) Accumulated Expenses (2014 - 2026)
Ollie's Bargain Outlet Holdings (OLLI) reported Accumulated Expenses of $115.66 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.9% from $98.97 million a year earlier but down 4.3% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ollie's Bargain Outlet Holdings posted Accumulated Expenses of $111.86 million, up 27.3% from FY2025.
- Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $87.86 million in FY2025 (+6.0%), $82.9 million in FY2024 (+7.7%), $76.96 million in FY2023 (-1.6%) and $78.25 million in FY2022 (-13.6%).
- Five-year quarterly Accumulated Expenses spans a low of $71.5 million in fiscal Q1 2023 and a high of $120.91 million in fiscal Q1 2027.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 16.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2026 (growth of 27.3%); the low point was fiscal Q4 2022 (a decline of 13.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $120.91 million (Q1 2027), $111.86 million (Q4 2026) and $109.41 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Ollie's Bargain Outlet Holdings | 5.22 Bn | 4.30 Bn | 322.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 115.66 Mn |
| May 2, 2026 | 120.91 Mn |
| Jan 31, 2026 | 111.86 Mn |
| Nov 1, 2025 | 109.41 Mn |
| Aug 2, 2025 | 98.97 Mn |
| May 3, 2025 | 95.24 Mn |
| Feb 1, 2025 | 87.86 Mn |
| Nov 2, 2024 | 91.77 Mn |
| Aug 3, 2024 | 79.95 Mn |
| May 4, 2024 | 87.86 Mn |
| Feb 3, 2024 | 82.90 Mn |
| Oct 28, 2023 | 87.62 Mn |
| Jul 29, 2023 | 82.30 Mn |
| Apr 29, 2023 | 76.14 Mn |
| Jan 28, 2023 | 76.96 Mn |
| Oct 29, 2022 | 86.95 Mn |
| Jul 30, 2022 | 77.85 Mn |
| Apr 30, 2022 | 71.50 Mn |
| Jan 29, 2022 | 78.25 Mn |
| Oct 30, 2021 | 78.51 Mn |
Ollie's Bargain Outlet Holdings Accumulated 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=accumulated-expenses&ticker=OLLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();