Five Below (FIVE) Change in Accured Expenses (2011 - 2026)
Five Below (FIVE) reported Change in Accured Expenses of $70.88 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 113.7% from $33.17 million a year earlier.
Five Below (FIVE) Change in Accured Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Five Below's Change in Accured Expenses came in at $45.65 million, down 24.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $47.76 million, up 80.4% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of 12.3% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $26.47 million in FY2025 (+216.7%), $8.36 million in FY2024, -$28.12 million in FY2023 and $24.78 million in FY2022 (-7.3%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Change in Accured Expenses in data going back to fiscal Q3 2012.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 45.4%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q2 2024 (growth of 157.0%); the low point was fiscal Q2 2023 (a decline of 78.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$20.8 million (Q1 2027), $9.64 million (Q4 2026) and -$14.07 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | - |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 111.71 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 199.00 Mn |
| 10 | Five Below | 12.42 Bn | 8.66 Bn | 612.42 Mn | 70.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 70.88 Mn |
| May 2, 2026 | -20.80 Mn |
| Jan 31, 2026 | 9.64 Mn |
| Nov 1, 2025 | -14.07 Mn |
| Aug 2, 2025 | 33.17 Mn |
| May 3, 2025 | 19.02 Mn |
| Feb 1, 2025 | 5.18 Mn |
| Nov 2, 2024 | 3.21 Mn |
| Aug 3, 2024 | 22.20 Mn |
| May 4, 2024 | -4.12 Mn |
| Feb 3, 2024 | -7.16 Mn |
| Oct 28, 2023 | 9.84 Mn |
| Jul 29, 2023 | 17.72 Mn |
| Apr 29, 2023 | -12.03 Mn |
| Jan 28, 2023 | 11.28 Mn |
| Oct 29, 2022 | -5.84 Mn |
| Jul 30, 2022 | 6.89 Mn |
| Apr 30, 2022 | -40.45 Mn |
| Jan 29, 2022 | -21.87 Mn |
| Oct 30, 2021 | 30.66 Mn |
Five Below 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=FIVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FIVE", "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=FIVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();