J.Jill (JILL) Inventory (2017 - 2026)
J.Jill (JILL) recorded Inventory of $52.64 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.7% from $55.27 million a year earlier and down 17.6% from the prior quarter.
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Analysis
J.Jill (JILL) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), J.Jill reported Inventory of $70.07 million, up 14.3% from FY2025.
- Annual Inventory has increased for three straight fiscal years, with a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $61.3 million in FY2025 (+15.1%), $53.26 million in FY2024 (+5.3%), $50.59 million in FY2023 (-9.7%) and $56.02 million in FY2022 (-3.5%).
- The fiscal Q2 2027 figure is the lowest quarterly Inventory since fiscal Q2 2024.
- On a year-over-year basis, Inventory rose in seven of the last eight quarters, with growth averaging 8.3%.
- Peak year-over-year performance for Inventory in the last five years was growth of 15.4% in fiscal Q2 2025, against a decline of 16.0% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $63.92 million (Q1 2027), $70.07 million (Q4 2026) and $66.9 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | J.Jill | 360.48 Mn | 147.90 Mn | 118.98 Mn | 52.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 52.64 Mn |
| May 2, 2026 | 63.92 Mn |
| Jan 31, 2026 | 70.07 Mn |
| Nov 1, 2025 | 66.90 Mn |
| Aug 2, 2025 | 55.27 Mn |
| May 3, 2025 | 60.56 Mn |
| Feb 1, 2025 | 61.30 Mn |
| Nov 2, 2024 | 61.74 Mn |
| Aug 3, 2024 | 52.71 Mn |
| May 4, 2024 | 53.15 Mn |
| Feb 3, 2024 | 53.26 Mn |
| Oct 28, 2023 | 56.65 Mn |
| Jul 29, 2023 | 45.69 Mn |
| Apr 29, 2023 | 53.79 Mn |
| Jan 28, 2023 | 50.59 Mn |
| Oct 29, 2022 | 60.13 Mn |
| Jul 30, 2022 | 54.38 Mn |
| Apr 30, 2022 | 63.22 Mn |
| Jan 29, 2022 | 56.02 Mn |
| Oct 30, 2021 | 56.90 Mn |
API Access
J.Jill Inventory 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=inventory&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();