Sally Beauty Holdings (SBH) Accumulated Expenses (2009 - 2026)
Sally Beauty Holdings (SBH) posted Accumulated Expenses of $163.99 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.8% from $165.29 million a year earlier and down 3.4% from the prior quarter.
Sally Beauty Holdings (SBH) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sally Beauty Holdings' Accumulated Expenses came in at $184.64 million, up 13.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior fiscal years, Sally Beauty Holdings' Accumulated Expenses was $162.95 million in FY2024 (-0.3%), $163.37 million in FY2023 (+1.4%), $161.07 million in FY2022 (-21.9%) and $206.16 million in FY2021 (+20.8%).
- Quarterly Accumulated Expenses has run from a low of $139.57 million in fiscal Q1 2024 to a high of $206.16 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 5.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2021, with growth of 20.8%; the weakest was fiscal Q3 2022, with a decline of 22.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $169.8 million (Q2 2026), $158.58 million (Q1 2026) and $184.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn |
| 10 | Sally Beauty Holdings | 1.68 Bn | 1.04 Bn | 490.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.99 Mn |
| Mar 31, 2026 | 169.80 Mn |
| Dec 31, 2025 | 158.58 Mn |
| Sep 30, 2025 | 184.64 Mn |
| Jun 30, 2025 | 165.29 Mn |
| Mar 31, 2025 | 151.17 Mn |
| Dec 31, 2024 | 149.02 Mn |
| Sep 30, 2024 | 162.95 Mn |
| Jun 30, 2024 | 161.19 Mn |
| Mar 31, 2024 | 150.00 Mn |
| Dec 31, 2023 | 139.57 Mn |
| Sep 30, 2023 | 163.37 Mn |
| Jun 30, 2023 | 140.39 Mn |
| Mar 31, 2023 | 168.19 Mn |
| Dec 31, 2022 | 142.79 Mn |
| Sep 30, 2022 | 161.07 Mn |
| Jun 30, 2022 | 166.00 Mn |
| Mar 31, 2022 | 170.54 Mn |
| Dec 31, 2021 | 151.94 Mn |
| Sep 30, 2021 | 206.16 Mn |
Sally Beauty Holdings 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=SBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();