Sally Beauty Holdings (SBH) Operating Expenses (2009 - 2026)
Sally Beauty Holdings' Operating Expenses came in at $403.85 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.3% from $402.81 million a year earlier and unchanged from the prior quarter.
Sally Beauty Holdings (SBH) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sally Beauty Holdings reported Operating Expenses of $1.63 billion, up 4.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.58 billion, down 1.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $1.61 billion in FY2024 (+2.2%), $1.57 billion in FY2023 (-0.5%), $1.58 billion in FY2022 (+3.0%) and $1.53 billion in FY2021 (+5.4%).
- The five-year range for quarterly Operating Expenses is $376.52 million (fiscal Q1 2025) to $424.3 million (fiscal Q4 2022).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 8.9%), and the weakest in fiscal Q4 2023 (a decline of 8.2%).
- Business Quant data shows SBH's Operating Expenses at $403.84 million (Q2 2026), $407.32 million (Q1 2026) and $414.16 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Sally Beauty Holdings | 1.59 Bn | 956.13 Mn | 490.25 Mn | 403.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 403.85 Mn |
| Mar 31, 2026 | 403.84 Mn |
| Dec 31, 2025 | 407.32 Mn |
| Sep 30, 2025 | 414.16 Mn |
| Jun 30, 2025 | 402.81 Mn |
| Mar 31, 2025 | 389.44 Mn |
| Dec 31, 2024 | 376.52 Mn |
| Sep 30, 2024 | 396.94 Mn |
| Jun 30, 2024 | 409.11 Mn |
| Mar 31, 2024 | 403.50 Mn |
| Dec 31, 2023 | 398.05 Mn |
| Sep 30, 2023 | 389.65 Mn |
| Jun 30, 2023 | 384.58 Mn |
| Mar 31, 2023 | 396.93 Mn |
| Dec 31, 2022 | 401.99 Mn |
| Sep 30, 2022 | 424.30 Mn |
| Jun 30, 2022 | 391.01 Mn |
| Mar 31, 2022 | 378.87 Mn |
| Dec 31, 2021 | 387.35 Mn |
| Sep 30, 2021 | 389.78 Mn |
Sally Beauty Holdings 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=SBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SBH", "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=SBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();