J.Jill (JILL) Tax Provisions (2016 - 2026)
J.Jill (JILL) recorded Tax Provisions of $6.72 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 66.6% from $4.03 million a year earlier and up 163.5% from the prior quarter.
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Analysis
J.Jill (JILL) Tax Provisions (2016 - 2026) Analysis & Trends
On a TTM basis, J.Jill's Tax Provisions came in at $11.43 million as of Aug 1, 2026, down 19.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $11.16 million, down 23.0% from FY2025.
- Across earlier fiscal years, Tax Provisions came in at $14.5 million in FY2025 (+10.1%), $13.16 million in FY2024 (-20.2%), $16.5 million in FY2023 (+105.8%) and $8.02 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Tax Provisions since fiscal Q2 2018.
- On a year-over-year basis, Tax Provisions rose in two of the last six quarters, with growth averaging 0.6%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 257.9% in fiscal Q1 2023, against a decline of 60.1% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.55 million (Q1 2027), -$1.44 million (Q4 2026) and $3.6 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 171.78 Mn |
| 10 | J.Jill | 363.01 Mn | 150.43 Mn | 118.98 Mn | 6.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.72 Mn |
| May 2, 2026 | 2.55 Mn |
| Jan 31, 2026 | -1.44 Mn |
| Nov 1, 2025 | 3.60 Mn |
| Aug 2, 2025 | 4.03 Mn |
| May 3, 2025 | 5.00 Mn |
| Feb 1, 2025 | 671,000.00 |
| Nov 2, 2024 | 4.52 Mn |
| Aug 3, 2024 | 3.10 Mn |
| May 4, 2024 | 6.23 Mn |
| Feb 3, 2024 | -182,000.00 |
| Oct 28, 2023 | 4.72 Mn |
| Jul 29, 2023 | 6.70 Mn |
| Apr 29, 2023 | 2.00 Mn |
| Jan 28, 2023 | 1.09 Mn |
| Oct 29, 2022 | 4.50 Mn |
| Jul 30, 2022 | 5.91 Mn |
| Apr 30, 2022 | 5.01 Mn |
| Jan 29, 2022 | -412,000.00 |
| Oct 30, 2021 | 2.60 Mn |
API Access
J.Jill Tax Provisions 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=tax-provisions&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();