Kroger (KR) Change in Accured Expenses (2009 - 2026)
Kroger (KR) recorded Change in Accured Expenses of $106 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), up 253.3% from $30 million a year earlier.
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Analysis
Kroger (KR) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Kroger reported Change in Accured Expenses of $165 million, up 54.2% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -34.6% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $107 million in FY2025, -$222 million in FY2024, -$167 million in FY2023 and -$134 million in FY2022.
- Quarterly Change in Accured Expenses has ranged from -$748 million in fiscal Q1 2023 to $553 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last four quarters, with growth averaging 145.7%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 343.9% in fiscal Q2 2025, against a decline of 83.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$122 million (Q3 2026), $424 million (Q2 2026) and -$243 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 181.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 106.00 Mn |
| Nov 8, 2025 | -122.00 Mn |
| Aug 16, 2025 | 424.00 Mn |
| May 24, 2025 | -243.00 Mn |
| Feb 1, 2025 | 30.00 Mn |
| Nov 9, 2024 | 151.00 Mn |
| Aug 17, 2024 | 253.00 Mn |
| May 25, 2024 | -327.00 Mn |
| Feb 3, 2024 | 165.00 Mn |
| Nov 4, 2023 | -28.00 Mn |
| Aug 12, 2023 | 57.00 Mn |
| May 20, 2023 | -416.00 Mn |
| Jan 28, 2023 | -313.00 Mn |
| Nov 5, 2022 | 553.00 Mn |
| Aug 13, 2022 | 341.00 Mn |
| May 21, 2022 | -748.00 Mn |
| Jan 29, 2022 | -94.00 Mn |
| Nov 6, 2021 | 360.00 Mn |
| Aug 14, 2021 | 148.00 Mn |
| May 22, 2021 | -548.00 Mn |
API Access
Kroger Change in Accured Expenses 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=change-in-accured-expenses&ticker=KR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "KR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=KR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();