Helen Of Troy (HELE) Operating Expenses (2010 - 2026)
Helen Of Troy's Operating Expenses was $207.2 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), up 15.1% from $180 million a year earlier and up 66.4% from the prior quarter.
Helen Of Troy (HELE) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Helen Of Troy's Operating Expenses was $695.96 million through Aug 31, 2026, down 2.6% 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 Q2 2027 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q2 2011.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 0.9%.
- 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 Q2 2027 was $124.51 million (Q1 2027), $181.44 million (Q4 2026) and $182.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | - |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 96.68 Mn |
| 10 | Helen Of Troy | 683.94 Mn | 593.65 Mn | 230.12 Mn | 207.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 207.20 Mn |
| 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 |
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_KEY
import 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();