J.Jill (JILL) Goodwill & Intangibles (2017 - 2026)
J.Jill (JILL) posted Goodwill & Intangibles of $113.74 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.9% from $118.37 million a year earlier and down 1.0% from the prior quarter.
J.Jill (JILL) Goodwill & Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), J.Jill's Goodwill & Intangibles came in at $116.02 million, down 3.9% from FY2025.
- Annual Goodwill & Intangibles has declined for nine consecutive fiscal years, with a five-year compound annual growth rate of -4.8% (FY2021 to FY2026).
- In prior fiscal years, J.Jill's Goodwill & Intangibles was $120.72 million in FY2025 (-4.2%), $125.95 million in FY2024 (-5.2%), $132.89 million in FY2023 (-5.4%) and $140.41 million in FY2022 (-5.6%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2017.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 35 quarters, with an average decline of 4.0% over the last eight quarters.
- The year-over-year decline in Goodwill & Intangibles has ranged between 3.9% (fiscal Q1 2026) and 10.4% (fiscal Q3 2022) over the last five years.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $114.88 million (Q1 2027), $116.02 million (Q4 2026) and $117.2 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | J.Jill | 370.44 Mn | 157.86 Mn | 118.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 113.74 Mn |
| May 2, 2026 | 114.88 Mn |
| Jan 31, 2026 | 116.02 Mn |
| Nov 1, 2025 | 117.20 Mn |
| Aug 2, 2025 | 118.37 Mn |
| May 3, 2025 | 119.54 Mn |
| Feb 1, 2025 | 120.72 Mn |
| Nov 2, 2024 | 121.92 Mn |
| Aug 3, 2024 | 123.13 Mn |
| May 4, 2024 | 124.34 Mn |
| Feb 3, 2024 | 125.95 Mn |
| Oct 28, 2023 | 127.68 Mn |
| Jul 29, 2023 | 129.42 Mn |
| Apr 29, 2023 | 131.15 Mn |
| Jan 28, 2023 | 132.89 Mn |
| Oct 29, 2022 | 134.77 Mn |
| Jul 30, 2022 | 136.65 Mn |
| Apr 30, 2022 | 138.53 Mn |
| Jan 29, 2022 | 140.41 Mn |
| Oct 30, 2021 | 142.47 Mn |
J.Jill Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=JILL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();