J.Jill (JILL) EBITDA (2016 - 2026)
J.Jill (JILL) posted EBITDA of $29.33 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 32.8% from $22.09 million a year earlier and up 109.4% from the prior quarter.
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Analysis
J.Jill (JILL) EBITDA (2016 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at J.Jill was $68.66 million, down 15.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $71.81 million, down 26.0% from FY2025.
- In prior fiscal years, J.Jill's EBITDA was $97.03 million in FY2025 (-11.0%), $108.97 million in FY2024 (+4.3%), $104.49 million in FY2023 (+18.8%) and $87.98 million in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly EBITDA since fiscal Q1 2025.
- On a year-over-year basis, EBITDA increased in 1 of the last eight quarters, with an average decline of 22.2%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2023, with growth of 88.1%; the weakest was fiscal Q4 2026, with a decline of 49.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $14.01 million (Q1 2027), $5.17 million (Q4 2026) and $20.14 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | J.Jill | 360.48 Mn | 147.90 Mn | 118.98 Mn | 29.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 29.33 Mn |
| May 2, 2026 | 14.01 Mn |
| Jan 31, 2026 | 5.17 Mn |
| Nov 1, 2025 | 20.14 Mn |
| Aug 2, 2025 | 22.09 Mn |
| May 3, 2025 | 24.41 Mn |
| Feb 1, 2025 | 10.32 Mn |
| Nov 2, 2024 | 24.48 Mn |
| Aug 3, 2024 | 28.03 Mn |
| May 4, 2024 | 34.20 Mn |
| Feb 3, 2024 | 16.56 Mn |
| Oct 28, 2023 | 27.96 Mn |
| Jul 29, 2023 | 33.49 Mn |
| Apr 29, 2023 | 30.96 Mn |
| Jan 28, 2023 | 14.11 Mn |
| Oct 29, 2022 | 25.25 Mn |
| Jul 30, 2022 | 34.52 Mn |
| Apr 30, 2022 | 30.60 Mn |
| Jan 29, 2022 | 14.69 Mn |
| Oct 30, 2021 | 26.23 Mn |
API Access
J.Jill EBITDA 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=ebitda&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();