J.Jill (JILL) Return on Assets [ROA] (2017 - 2026)
J.Jill (JILL) posted Return on Assets [ROA] of 6.06% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.40 percentage points from 8.46% a year earlier but up 1.36 percentage points from the prior quarter.
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Analysis
J.Jill (JILL) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), J.Jill's Return on Assets [ROA] came in at 6.43%, down 2.91 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of +31.07 percentage points (FY2021 to FY2026).
- In prior fiscal years, J.Jill's Return on Assets [ROA] was 9.34% in FY2025 (+1.24 pp), 8.09% in FY2024 (-1.09 pp), 9.19% in FY2023 (+15.12 pp) and -5.93% in FY2022 (+18.72 pp).
- Quarterly Return on Assets [ROA] has run from a low of -12.55% in fiscal Q3 2022 to a high of 11.07% in fiscal Q1 2025 over five years.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last six quarters, with an average year-over-year change of -1.56 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q2 2023, with a gain of 29.60 percentage points; the weakest was fiscal Q1 2027, with a drop of 3.39 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was 4.71% (Q1 2027), 6.13% (Q4 2026) and 7.51% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98% |
| 10 | J.Jill | 363.01 Mn | 150.43 Mn | 118.98 Mn | 6.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.06% |
| May 2, 2026 | 4.71% |
| Jan 31, 2026 | 6.13% |
| Nov 1, 2025 | 7.51% |
| Aug 2, 2025 | 8.46% |
| May 3, 2025 | 8.09% |
| Feb 1, 2025 | 9.44% |
| Nov 2, 2024 | 10.38% |
| Aug 3, 2024 | 9.88% |
| May 4, 2024 | 11.07% |
| Feb 3, 2024 | 8.34% |
| Oct 28, 2023 | 7.58% |
| Jul 29, 2023 | 7.20% |
| Apr 29, 2023 | 7.39% |
| Jan 28, 2023 | 8.82% |
| Oct 29, 2022 | 9.41% |
| Jul 30, 2022 | 10.18% |
| Apr 30, 2022 | 1.00% |
| Jan 29, 2022 | -6.13% |
| Oct 30, 2021 | -12.55% |
API Access
J.Jill Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();