Five Below (FIVE) Operating Expenses (2011 - 2026)
Five Below's Operating Expenses came in at $285.87 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 18.0% from $242.31 million a year earlier and up 4.6% from the prior quarter.
Five Below (FIVE) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Five Below reported Operating Expenses of $1.16 billion, up 21.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.07 billion, up 23.7% from FY2025.
- Operating Expenses has increased in each of the last 15 fiscal years, with a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $861.4 million in FY2025 (+13.7%), $757.51 million in FY2024 (+17.5%), $644.83 million in FY2023 (+14.0%) and $565.73 million in FY2022 (+13.7%).
- The five-year range for quarterly Operating Expenses is $121.01 million (fiscal Q4 2023) to $337.11 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 20.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2024 (growth of 103.4%), and the weakest in fiscal Q4 2022 (a decline of 27.3%).
- Business Quant data shows FIVE's Operating Expenses at $273.28 million (Q1 2027), $337.11 million (Q4 2026) and $259.24 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Five Below | 12.31 Bn | 8.55 Bn | 612.42 Mn | 285.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 285.87 Mn |
| May 2, 2026 | 273.28 Mn |
| Jan 31, 2026 | 337.11 Mn |
| Nov 1, 2025 | 259.24 Mn |
| Aug 2, 2025 | 242.31 Mn |
| May 3, 2025 | 226.50 Mn |
| Feb 1, 2025 | 267.04 Mn |
| Nov 2, 2024 | 215.37 Mn |
| Aug 3, 2024 | 188.81 Mn |
| May 4, 2024 | 190.19 Mn |
| Feb 3, 2024 | 246.08 Mn |
| Oct 28, 2023 | 173.12 Mn |
| Jul 29, 2023 | 175.10 Mn |
| Apr 29, 2023 | 163.21 Mn |
| Jan 28, 2023 | 121.01 Mn |
| Oct 29, 2022 | 186.87 Mn |
| Jul 30, 2022 | 172.50 Mn |
| Apr 30, 2022 | 164.45 Mn |
| Jan 29, 2022 | 124.49 Mn |
| Oct 30, 2021 | 159.91 Mn |
Five Below Operating 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=operating-expenses&ticker=FIVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FIVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();