Ollie's Bargain Outlet Holdings (OLLI) Inventory (2014 - 2026)
Ollie's Bargain Outlet Holdings' Inventory was $704.43 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.5% from $637.24 million a year earlier and up 2.5% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) Inventory (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Inventory at Ollie's Bargain Outlet Holdings came in at $650.26 million, up 17.7% from FY2025.
- Inventory has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 13.0% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $552.54 million in FY2025 (+9.2%), $505.79 million in FY2024 (+7.5%), $470.53 million in FY2023 (+0.7%) and $467.31 million in FY2022 (+32.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Inventory in data going back to fiscal Q2 2015.
- Compared with a year earlier, Inventory has increased for 13 straight quarters, with growth averaging 14.4% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q1 2023 (growth of 45.6%); the worst was fiscal Q1 2024 (a decline of 3.7%).
- Per Business Quant data, OLLI's Inventory in the three fiscal quarters before Q2 2027 was $686.92 million (Q1 2027), $650.26 million (Q4 2026) and $702.83 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Ollie's Bargain Outlet Holdings | 5.08 Bn | 4.16 Bn | 322.17 Mn | 704.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 704.43 Mn |
| May 2, 2026 | 686.92 Mn |
| Jan 31, 2026 | 650.26 Mn |
| Nov 1, 2025 | 702.83 Mn |
| Aug 2, 2025 | 637.24 Mn |
| May 3, 2025 | 611.85 Mn |
| Feb 1, 2025 | 552.54 Mn |
| Nov 2, 2024 | 607.33 Mn |
| Aug 3, 2024 | 531.29 Mn |
| May 4, 2024 | 527.47 Mn |
| Feb 3, 2024 | 505.79 Mn |
| Oct 28, 2023 | 532.37 Mn |
| Jul 29, 2023 | 498.33 Mn |
| Apr 29, 2023 | 497.99 Mn |
| Jan 28, 2023 | 470.53 Mn |
| Oct 29, 2022 | 523.73 Mn |
| Jul 30, 2022 | 494.13 Mn |
| Apr 30, 2022 | 517.03 Mn |
| Jan 29, 2022 | 467.31 Mn |
| Oct 30, 2021 | 471.80 Mn |
Ollie's Bargain Outlet Holdings Inventory 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=inventory&ticker=OLLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();