Helen Of Troy (HELE) Operating Expenses (2010 - 2026)
Helen Of Troy's Operating Expenses was $124.51 million in fiscal Q1 2027 (quarter ended May 31, 2026), down 25.7% from $167.66 million a year earlier and down 31.4% from the prior quarter.
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Analysis
Helen Of Troy (HELE) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Helen Of Troy's Operating Expenses was $668.76 million through May 31, 2026, down 6.5% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $711.91 million, down 1.2% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 2.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $720.2 million in FY2025 (+4.7%), $688.07 million in FY2024 (+0.1%), $687.56 million in FY2023 (+1.0%) and $680.64 million in FY2022 (+6.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Operating Expenses since fiscal Q1 2021.
- Compared with a year earlier, Operating Expenses has declined for five straight quarters, with an average decline of 1.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2023 (growth of 21.8%); the worst was fiscal Q1 2027 (a decline of 25.7%).
- Per Business Quant data, HELE's Operating Expenses in the three fiscal quarters before Q1 2027 was $181.44 million (Q4 2026), $182.81 million (Q3 2026) and $180 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Helen Of Troy | 679.01 Mn | 588.93 Mn | 184.86 Mn | 124.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 124.51 Mn |
| Feb 28, 2026 | 181.44 Mn |
| Nov 30, 2025 | 182.81 Mn |
| Aug 31, 2025 | 180.00 Mn |
| May 31, 2025 | 167.66 Mn |
| Feb 28, 2025 | 182.46 Mn |
| Nov 30, 2024 | 184.21 Mn |
| Aug 31, 2024 | 181.22 Mn |
| May 31, 2024 | 172.32 Mn |
| Feb 29, 2024 | 173.42 Mn |
| Nov 30, 2023 | 156.85 Mn |
| Aug 31, 2023 | 182.81 Mn |
| May 31, 2023 | 174.99 Mn |
| Feb 28, 2023 | 156.35 Mn |
| Nov 30, 2022 | 179.48 Mn |
| Aug 31, 2022 | 174.50 Mn |
| May 31, 2022 | 177.23 Mn |
| Feb 28, 2022 | 197.79 Mn |
| Nov 30, 2021 | 183.79 Mn |
| Aug 31, 2021 | 143.30 Mn |
API Access
Helen Of Troy 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=HELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HELE", "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=HELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();