Five Below (FIVE) Accumulated Expenses (2011 - 2026)
Five Below (FIVE) reported Accumulated Expenses of $215.9 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.4% from $204.93 million a year earlier and up 14.4% from the prior quarter.
Five Below (FIVE) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Five Below posted Accumulated Expenses of $160.33 million, up 7.2% from FY2025.
- Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $149.5 million in FY2025 (+1.8%), $146.89 million in FY2024 (+7.8%), $136.32 million in FY2023 (-6.2%) and $145.27 million in FY2022 (+33.9%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q2 2012.
- Year over year, Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2022 (growth of 68.3%); the low point was fiscal Q3 2025 (a decline of 9.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $188.68 million (Q1 2027), $160.33 million (Q4 2026) and $184.53 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Five Below | 12.31 Bn | 8.55 Bn | 612.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 215.90 Mn |
| May 2, 2026 | 188.68 Mn |
| Jan 31, 2026 | 160.33 Mn |
| Nov 1, 2025 | 184.53 Mn |
| Aug 2, 2025 | 204.93 Mn |
| May 3, 2025 | 176.75 Mn |
| Feb 1, 2025 | 149.50 Mn |
| Nov 2, 2024 | 143.39 Mn |
| Aug 3, 2024 | 164.23 Mn |
| May 4, 2024 | 150.34 Mn |
| Feb 3, 2024 | 146.89 Mn |
| Oct 28, 2023 | 158.27 Mn |
| Jul 29, 2023 | 162.92 Mn |
| Apr 29, 2023 | 135.46 Mn |
| Jan 28, 2023 | 136.32 Mn |
| Oct 29, 2022 | 152.26 Mn |
| Jul 30, 2022 | 159.98 Mn |
| Apr 30, 2022 | 140.85 Mn |
| Jan 29, 2022 | 145.27 Mn |
| Oct 30, 2021 | 167.47 Mn |
Five Below Accumulated 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=accumulated-expenses&ticker=FIVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FIVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();