J.Jill (JILL) Enterprise Value (2017 - 2026)
J.Jill (JILL) posted Enterprise Value of $193.84 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.9% from $188.37 million a year earlier and up 30.3% from the prior quarter.
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Analysis
J.Jill (JILL) Enterprise Value (2017 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Enterprise Value at J.Jill was $58.15 million, down 29.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $191.03 million, down 50.1% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of 40.9% (FY2021 to FY2026).
- In prior fiscal years, J.Jill's Enterprise Value was $382.87 million in FY2025 (+39.3%), $274.86 million in FY2024 (+0.4%), $273.87 million in FY2023 (+141.2%) and $113.56 million in FY2022 (+230.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Enterprise Value since fiscal Q1 2026.
- On a year-over-year basis, Enterprise Value increased in two of the last eight quarters, with an average decline of 23.0%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2022, with growth of 829.1%; the weakest was fiscal Q2 2026, with a decline of 61.6%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $148.74 million (Q1 2027), $191.03 million (Q4 2026) and $169.78 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 | 193.84 Mn |
| May 2, 2026 | 148.74 Mn |
| Jan 31, 2026 | 191.03 Mn |
| Nov 1, 2025 | 169.78 Mn |
| Aug 2, 2025 | 188.37 Mn |
| May 3, 2025 | 210.78 Mn |
| Feb 1, 2025 | 382.87 Mn |
| Nov 2, 2024 | 329.40 Mn |
| Aug 3, 2024 | 490.29 Mn |
| May 4, 2024 | 315.52 Mn |
| Feb 3, 2024 | 274.86 Mn |
| Oct 28, 2023 | 339.87 Mn |
| Jul 29, 2023 | 269.67 Mn |
| Apr 29, 2023 | 324.53 Mn |
| Jan 28, 2023 | 273.87 Mn |
| Oct 29, 2022 | 187.77 Mn |
| Jul 30, 2022 | 161.31 Mn |
| Apr 30, 2022 | 183.37 Mn |
| Jan 29, 2022 | 113.56 Mn |
| Oct 30, 2021 | 211.30 Mn |
API Access
J.Jill Enterprise Value 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=enterprise-value&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();