J.Jill (JILL) Operating Leases (2019 - 2026)
J.Jill (JILL) reported Operating Leases of $108.92 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.6% from $114.13 million a year earlier but up 1.8% from the prior quarter.
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Analysis
J.Jill (JILL) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), J.Jill posted Operating Leases of $111.23 million, up 6.2% from FY2025.
- Operating Leases has a five-year compound annual growth rate of -9.1% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $104.75 million in FY2025 (+1.6%), $103.07 million in FY2024 (-16.3%), $123.1 million in FY2023 (-14.0%) and $143.21 million in FY2022 (-20.0%).
- Five-year quarterly Operating Leases spans a low of $100.68 million in fiscal Q1 2025 and a high of $151.47 million in fiscal Q3 2022.
- Year over year, Operating Leases gained in five of the last eight quarters, with growth averaging 3.5%.
- The high point for year-over-year Operating Leases in five years was fiscal Q1 2026 (growth of 16.5%); the low point was fiscal Q4 2022 (a decline of 20.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $106.99 million (Q1 2027), $111.23 million (Q4 2026) and $114.87 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | J.Jill | 360.48 Mn | 147.90 Mn | 118.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 108.92 Mn |
| May 2, 2026 | 106.99 Mn |
| Jan 31, 2026 | 111.23 Mn |
| Nov 1, 2025 | 114.87 Mn |
| Aug 2, 2025 | 114.13 Mn |
| May 3, 2025 | 117.29 Mn |
| Feb 1, 2025 | 104.75 Mn |
| Nov 2, 2024 | 105.16 Mn |
| Aug 3, 2024 | 101.41 Mn |
| May 4, 2024 | 100.68 Mn |
| Feb 3, 2024 | 103.07 Mn |
| Oct 28, 2023 | 110.01 Mn |
| Jul 29, 2023 | 117.26 Mn |
| Apr 29, 2023 | 118.36 Mn |
| Jan 28, 2023 | 123.10 Mn |
| Oct 29, 2022 | 126.21 Mn |
| Jul 30, 2022 | 133.30 Mn |
| Apr 30, 2022 | 140.76 Mn |
| Jan 29, 2022 | 143.21 Mn |
| Oct 30, 2021 | 151.47 Mn |
API Access
J.Jill 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=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "JILL", "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=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();