J.Jill (JILL) Total Current Liabilities (2017 - 2026)
J.Jill (JILL) reported Total Current Liabilities of $120.24 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.6% from $117.16 million a year earlier and up 1.5% from the prior quarter.
J.Jill (JILL) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), J.Jill posted Total Current Liabilities of $130.65 million, up 2.8% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of -3.0% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $127.11 million in FY2025 (-18.0%), $154.95 million in FY2024 (+22.0%), $126.99 million in FY2023 (-8.5%) and $138.75 million in FY2022 (-8.7%).
- Five-year quarterly Total Current Liabilities spans a low of $117.16 million in fiscal Q2 2026 and a high of $158.58 million in fiscal Q1 2025.
- Year over year, Total Current Liabilities gained in three of the last eight quarters, with an average decline of 5.6%.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2025 (growth of 28.3%); the low point was fiscal Q1 2026 (a decline of 21.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $118.44 million (Q1 2027), $130.65 million (Q4 2026) and $130.74 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 10.04 Bn |
| 10 | J.Jill | 360.48 Mn | 147.90 Mn | 118.98 Mn | 120.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 120.24 Mn |
| May 2, 2026 | 118.44 Mn |
| Jan 31, 2026 | 130.65 Mn |
| Nov 1, 2025 | 130.74 Mn |
| Aug 2, 2025 | 117.16 Mn |
| May 3, 2025 | 124.05 Mn |
| Feb 1, 2025 | 127.11 Mn |
| Nov 2, 2024 | 129.91 Mn |
| Aug 3, 2024 | 119.36 Mn |
| May 4, 2024 | 158.58 Mn |
| Feb 3, 2024 | 154.95 Mn |
| Oct 28, 2023 | 136.00 Mn |
| Jul 29, 2023 | 118.13 Mn |
| Apr 29, 2023 | 123.61 Mn |
| Jan 28, 2023 | 126.99 Mn |
| Oct 29, 2022 | 148.82 Mn |
| Jul 30, 2022 | 123.17 Mn |
| Apr 30, 2022 | 138.16 Mn |
| Jan 29, 2022 | 138.75 Mn |
| Oct 30, 2021 | 146.34 Mn |
J.Jill Total Current 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-current-liabilities&ticker=JILL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();