J.Jill (JILL) Cash & Equivalents (2016 - 2026)
J.Jill's Cash & Equivalents was $76.9 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 68.9% from $45.52 million a year earlier and up 109.8% from the prior quarter.
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Analysis
J.Jill (JILL) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cash & Equivalents at J.Jill came in at $41.02 million, up 14.6% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 56.2% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $35.79 million in FY2025 (-42.4%), $62.17 million in FY2024 (-28.6%), $87.05 million in FY2023 (+142.1%) and $35.96 million in FY2022 (+715.9%).
- The fiscal Q2 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q1 2025.
- Compared with a year earlier, Cash & Equivalents has increased for five straight quarters, with growth averaging 8.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2022 (growth of 715.9%); the worst was fiscal Q1 2026 (a decline of 59.0%).
- Per Business Quant data, JILL's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $36.66 million (Q1 2027), $41.02 million (Q4 2026) and $58.01 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | J.Jill | 370.44 Mn | 157.86 Mn | 118.98 Mn | 76.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 76.90 Mn |
| May 2, 2026 | 36.66 Mn |
| Jan 31, 2026 | 41.02 Mn |
| Nov 1, 2025 | 58.01 Mn |
| Aug 2, 2025 | 45.52 Mn |
| May 3, 2025 | 31.61 Mn |
| Feb 1, 2025 | 35.79 Mn |
| Nov 2, 2024 | 38.77 Mn |
| Aug 3, 2024 | 28.47 Mn |
| May 4, 2024 | 77.12 Mn |
| Feb 3, 2024 | 62.17 Mn |
| Oct 28, 2023 | 64.12 Mn |
| Jul 29, 2023 | 48.90 Mn |
| Apr 29, 2023 | 27.89 Mn |
| Jan 28, 2023 | 87.05 Mn |
| Oct 29, 2022 | 90.08 Mn |
| Jul 30, 2022 | 61.86 Mn |
| Apr 30, 2022 | 40.84 Mn |
| Jan 29, 2022 | 35.96 Mn |
| Oct 30, 2021 | 17.47 Mn |
API Access
J.Jill Cash & Equivalents 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=cash-and-equivalents&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();