J.Jill (JILL) Consolidated Net Income (2016 - 2026)
J.Jill's Consolidated Net Income was $16.77 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 59.5% from $10.52 million a year earlier and up 257.8% from the prior quarter.
J.Jill (JILL) Consolidated Net Income (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, J.Jill's Consolidated Net Income was $27.14 million through Aug 1, 2026, down 26.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $27.89 million, down 29.4% from FY2025.
- In earlier fiscal years, Consolidated Net Income was $39.48 million in FY2025 (+9.1%), $36.2 million in FY2024 (-14.2%), $42.18 million in FY2023 and -$28.14 million in FY2022.
- The fiscal Q2 2027 figure marks the highest quarterly Consolidated Net Income since fiscal Q2 2023.
- Compared with a year earlier, Consolidated Net Income was higher in three of the last seven quarters, with an average decline of 10.5%.
- The best year-over-year quarter for Consolidated Net Income over five years was fiscal Q4 2024 (growth of 360.1%); the worst was fiscal Q4 2023 (a decline of 71.0%).
- Per Business Quant data, JILL's Consolidated Net Income in the three fiscal quarters before Q2 2027 was $4.69 million (Q1 2027), -$3.5 million (Q4 2026) and $9.19 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 62.66 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 851.30 Mn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 1.88 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 513.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 715.06 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 641.49 Mn |
| 10 | J.Jill | 370.44 Mn | 157.86 Mn | 118.98 Mn | 16.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.77 Mn |
| May 2, 2026 | 4.69 Mn |
| Jan 31, 2026 | -3.50 Mn |
| Nov 1, 2025 | 9.19 Mn |
| Aug 2, 2025 | 10.52 Mn |
| May 3, 2025 | 11.66 Mn |
| Feb 1, 2025 | 2.25 Mn |
| Nov 2, 2024 | 12.35 Mn |
| Aug 3, 2024 | 8.17 Mn |
| May 4, 2024 | 16.70 Mn |
| Feb 3, 2024 | 4.77 Mn |
| Oct 28, 2023 | 11.62 Mn |
| Jul 29, 2023 | 15.19 Mn |
| Apr 29, 2023 | 4.56 Mn |
| Jan 28, 2023 | 1.04 Mn |
| Oct 29, 2022 | 8.91 Mn |
| Jul 30, 2022 | 17.81 Mn |
| Apr 30, 2022 | 14.42 Mn |
| Jan 29, 2022 | 3.58 Mn |
| Oct 30, 2021 | 11.23 Mn |
J.Jill Consolidated Net Income 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=consolidated-net-income&ticker=JILL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();