Ollie's Bargain Outlet Holdings (OLLI) Operating Leases (2019 - 2026)
Ollie's Bargain Outlet Holdings' Operating Leases came in at $624.26 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.3% from $561.02 million a year earlier and up 4.7% from the prior quarter.
Ollie's Bargain Outlet Holdings (OLLI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ollie's Bargain Outlet Holdings' Operating Leases was $575.53 million, up 20.1% from FY2025.
- Operating Leases has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $479.33 million in FY2025 (+20.5%), $397.91 million in FY2024 (+13.3%), $351.25 million in FY2023 (-0.9%) and $354.29 million in FY2022 (+10.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year-over-year, Operating Leases has increased for 13 consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q1 2026 (growth of 38.4%), and the weakest in fiscal Q1 2024 (a decline of 1.5%).
- Business Quant data shows OLLI's Operating Leases at $596.18 million (Q1 2027), $575.53 million (Q4 2026) and $573.31 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,822.88 Bn | 2,339.58 Bn | 104.83 Bn |
| 2 | Home Depot | 310.81 Bn | 304.05 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.91 Bn | 138.45 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.18 Bn | 102.14 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.69 Bn | 57.61 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn |
| 7 | Target | 69.40 Bn | 63.99 Bn | 8.94 Bn |
| 8 | Autozone | 51.99 Bn | 50.89 Bn | 2.52 Bn |
| 9 | Carvana | 42.80 Bn | 33.29 Bn | 1.38 Bn |
| 10 | Ollie's Bargain Outlet Holdings | 5.50 Bn | 4.58 Bn | 322.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 624.26 Mn |
| May 2, 2026 | 596.18 Mn |
| Jan 31, 2026 | 575.53 Mn |
| Nov 1, 2025 | 573.31 Mn |
| Aug 2, 2025 | 561.02 Mn |
| May 3, 2025 | 547.43 Mn |
| Feb 1, 2025 | 479.33 Mn |
| Nov 2, 2024 | 462.69 Mn |
| Aug 3, 2024 | 411.99 Mn |
| May 4, 2024 | 395.55 Mn |
| Feb 3, 2024 | 397.91 Mn |
| Oct 28, 2023 | 393.03 Mn |
| Jul 29, 2023 | 368.85 Mn |
| Apr 29, 2023 | 356.79 Mn |
| Jan 28, 2023 | 351.25 Mn |
| Oct 29, 2022 | 373.23 Mn |
| Jul 30, 2022 | 366.68 Mn |
| Apr 30, 2022 | 362.09 Mn |
| Jan 29, 2022 | 354.29 Mn |
| Oct 30, 2021 | 344.34 Mn |
Ollie's Bargain Outlet Holdings Operating Leases 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-leases&ticker=OLLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=OLLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();