J.Jill (JILL) Accumulated Expenses (2017 - 2026)
J.Jill's Accumulated Expenses was $38.76 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 22.7% from $31.59 million a year earlier and up 13.4% from the prior quarter.
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Analysis
J.Jill (JILL) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at J.Jill came in at $30.86 million, down 23.8% from FY2025.
- Accumulated Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -6.8% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $40.48 million in FY2025 (-4.3%), $42.28 million in FY2024 (-15.0%), $49.73 million in FY2023 (+1.8%) and $48.85 million in FY2022 (+11.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Accumulated Expenses since fiscal Q1 2026.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last eight quarters, with an average decline of 7.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2023 (growth of 22.9%); the worst was fiscal Q3 2024 (a decline of 32.7%).
- Per Business Quant data, JILL's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $34.18 million (Q1 2027), $30.86 million (Q4 2026) and $37.6 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | J.Jill | 363.01 Mn | 150.43 Mn | 118.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 38.76 Mn |
| May 2, 2026 | 34.18 Mn |
| Jan 31, 2026 | 30.86 Mn |
| Nov 1, 2025 | 37.60 Mn |
| Aug 2, 2025 | 31.59 Mn |
| May 3, 2025 | 41.68 Mn |
| Feb 1, 2025 | 40.48 Mn |
| Nov 2, 2024 | 42.53 Mn |
| Aug 3, 2024 | 36.53 Mn |
| May 4, 2024 | 46.83 Mn |
| Feb 3, 2024 | 42.28 Mn |
| Oct 28, 2023 | 42.86 Mn |
| Jul 29, 2023 | 37.22 Mn |
| Apr 29, 2023 | 38.85 Mn |
| Jan 28, 2023 | 49.73 Mn |
| Oct 29, 2022 | 63.72 Mn |
| Jul 30, 2022 | 45.58 Mn |
| Apr 30, 2022 | 49.28 Mn |
| Jan 29, 2022 | 48.85 Mn |
| Oct 30, 2021 | 51.85 Mn |
API Access
J.Jill Accumulated Expenses 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=accumulated-expenses&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();