J.Jill (JILL) Total Debt (2017 - 2026)
J.Jill (JILL) recorded Total Debt of $72.52 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.6% from $70.02 million a year earlier but down 0.5% from the prior quarter.
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Analysis
J.Jill (JILL) Total Debt (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), J.Jill reported Total Debt of $73.31 million, up 5.6% from FY2025.
- Annual Total Debt has a five-year compound annual growth rate of -21.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Debt came in at $69.42 million in FY2025 (-55.5%), $155.95 million in FY2024 (-25.3%), $208.66 million in FY2023 (-0.5%) and $209.81 million in FY2022 (-13.5%).
- Quarterly Total Debt has ranged from $7 million in fiscal Q3 2022 to $209.81 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Total Debt has increased for three consecutive quarters, with an average decline of 19.6% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 785.0% in fiscal Q1 2023, against a decline of 97.0% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $72.91 million (Q1 2027), $73.31 million (Q4 2026) and $70.33 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 37.56 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 15.36 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 5.24 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 9.02 Bn |
| 10 | J.Jill | 360.48 Mn | 147.90 Mn | 118.98 Mn | 72.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 72.52 Mn |
| May 2, 2026 | 72.91 Mn |
| Jan 31, 2026 | 73.31 Mn |
| Nov 1, 2025 | 70.33 Mn |
| Aug 2, 2025 | 70.02 Mn |
| May 3, 2025 | 69.71 Mn |
| Feb 1, 2025 | 69.42 Mn |
| Nov 2, 2024 | 71.31 Mn |
| Aug 3, 2024 | 73.21 Mn |
| May 4, 2024 | 154.43 Mn |
| Feb 3, 2024 | 155.95 Mn |
| Oct 28, 2023 | 157.48 Mn |
| Jul 29, 2023 | 159.05 Mn |
| Apr 29, 2023 | 160.54 Mn |
| Jan 28, 2023 | 208.66 Mn |
| Oct 29, 2022 | 199.19 Mn |
| Jul 30, 2022 | 198.75 Mn |
| Apr 30, 2022 | 203.93 Mn |
| Jan 29, 2022 | 209.81 Mn |
| Oct 30, 2021 | 7.00 Mn |
API Access
J.Jill Total Debt 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-debt&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();