Sally Beauty Holdings (SBH) EBITDA (2009 - 2026)
Sally Beauty Holdings (SBH) recorded EBITDA of $112.62 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.5% from $102.84 million a year earlier and up 15.9% from the prior quarter.
Sally Beauty Holdings (SBH) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Sally Beauty Holdings' EBITDA came in at $413.67 million as of Jun 30, 2026, down 4.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $427.73 million, up 9.0% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $392.47 million in FY2024 (-8.2%), $427.44 million in FY2023 (-2.3%), $437.57 million in FY2022 (-16.0%) and $520.64 million in FY2021 (+42.4%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA since fiscal Q1 2025.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 57.4% in fiscal Q4 2023, against a decline of 51.4% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $97.21 million (Q2 2026), $99.57 million (Q1 2026) and $104.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Sally Beauty Holdings | 1.58 Bn | 943.49 Mn | 490.25 Mn | 113.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.09 Mn |
| Mar 31, 2026 | 97.70 Mn |
| Dec 31, 2025 | 100.04 Mn |
| Sep 30, 2025 | 104.78 Mn |
| Jun 30, 2025 | 103.36 Mn |
| Mar 31, 2025 | 95.26 Mn |
| Dec 31, 2024 | 126.45 Mn |
| Sep 30, 2024 | 109.04 Mn |
| Jun 30, 2024 | 100.89 Mn |
| Mar 31, 2024 | 87.16 Mn |
| Dec 31, 2023 | 97.82 Mn |
| Sep 30, 2023 | 104.24 Mn |
| Jun 30, 2023 | 116.24 Mn |
| Mar 31, 2023 | 97.13 Mn |
| Dec 31, 2022 | 112.52 Mn |
| Sep 30, 2022 | 66.41 Mn |
| Jun 30, 2022 | 124.93 Mn |
| Mar 31, 2022 | 111.44 Mn |
| Dec 31, 2021 | 138.13 Mn |
| Sep 30, 2021 | 136.24 Mn |
Sally Beauty Holdings EBITDA 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=ebitda&ticker=SBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();