J.Jill (JILL) Total Liabilities (2017 - 2026)
J.Jill's Total Liabilities came in at $317.96 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.9% from $315.01 million a year earlier and up 1.5% from the prior quarter.
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Analysis
J.Jill (JILL) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), J.Jill's Total Liabilities was $328.72 million, up 5.4% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -11.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $311.93 million in FY2025 (-20.2%), $390.96 million in FY2024 (-16.2%), $466.64 million in FY2023 (-6.0%) and $496.5 million in FY2022 (-16.4%).
- The five-year range for quarterly Total Liabilities is $300.44 million (fiscal Q2 2025) to $515.04 million (fiscal Q3 2022).
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with an average decline of 5.9%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2026 (growth of 5.4%), and the weakest in fiscal Q2 2025 (a decline of 24.4%).
- Business Quant data shows JILL's Total Liabilities at $313.18 million (Q1 2027), $328.72 million (Q4 2026) and $328.95 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | J.Jill | 360.48 Mn | 147.90 Mn | 118.98 Mn | 317.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 317.96 Mn |
| May 2, 2026 | 313.18 Mn |
| Jan 31, 2026 | 328.72 Mn |
| Nov 1, 2025 | 328.95 Mn |
| Aug 2, 2025 | 315.01 Mn |
| May 3, 2025 | 320.92 Mn |
| Feb 1, 2025 | 311.93 Mn |
| Nov 2, 2024 | 315.00 Mn |
| Aug 3, 2024 | 300.44 Mn |
| May 4, 2024 | 390.79 Mn |
| Feb 3, 2024 | 390.96 Mn |
| Oct 28, 2023 | 406.39 Mn |
| Jul 29, 2023 | 397.65 Mn |
| Apr 29, 2023 | 404.64 Mn |
| Jan 28, 2023 | 466.64 Mn |
| Oct 29, 2022 | 491.39 Mn |
| Jul 30, 2022 | 472.05 Mn |
| Apr 30, 2022 | 493.90 Mn |
| Jan 29, 2022 | 496.50 Mn |
| Oct 30, 2021 | 515.04 Mn |
API Access
J.Jill Total Liabilities 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=total-liabilities&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();