J.Jill (JILL) Gross Margin (2016 - 2026)
J.Jill (JILL) posted Gross Margin of 76.85% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.43 percentage points from 68.42% a year earlier and up 8.51 percentage points from the prior quarter.
J.Jill (JILL) Gross Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Gross Margin at J.Jill was 69.99%, up 0.45 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 68.69%, down 1.68 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of +11.13 percentage points (FY2021 to FY2026).
- In prior fiscal years, J.Jill's Gross Margin was 70.37% in FY2025 (-0.48 pp), 70.85% in FY2024 (+2.09 pp), 68.76% in FY2023 (+1.36 pp) and 67.40% in FY2022 (+9.84 pp).
- The fiscal Q2 2027 figure stands as the highest quarterly Gross Margin in data going back to fiscal Q1 2017.
- On a year-over-year basis, Gross Margin increased in 1 of the last eight quarters, with an average year-over-year change of -0.46 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q3 2022, with a gain of 10.03 percentage points; the weakest was fiscal Q1 2027, with a drop of 3.50 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 68.33% (Q1 2027), 63.08% (Q4 2026) and 70.90% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 52.26% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 33.04% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 33.83% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 33.67% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 51.45% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 18.76% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 52.15% |
| 10 | J.Jill | 363.01 Mn | 150.43 Mn | 118.98 Mn | 76.85% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 76.85% |
| May 2, 2026 | 68.33% |
| Jan 31, 2026 | 63.08% |
| Nov 1, 2025 | 70.90% |
| Aug 2, 2025 | 68.42% |
| May 3, 2025 | 71.84% |
| Feb 1, 2025 | 66.33% |
| Nov 2, 2024 | 71.38% |
| Aug 3, 2024 | 70.47% |
| May 4, 2024 | 72.90% |
| Feb 3, 2024 | 67.50% |
| Oct 28, 2023 | 71.98% |
| Jul 29, 2023 | 71.74% |
| Apr 29, 2023 | 72.13% |
| Jan 28, 2023 | 65.17% |
| Oct 29, 2022 | 69.92% |
| Jul 30, 2022 | 70.15% |
| Apr 30, 2022 | 69.69% |
| Jan 29, 2022 | 63.88% |
| Oct 30, 2021 | 68.89% |
J.Jill Gross Margin 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=gross-margin&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();