Helen Of Troy (HELE) Operating Leases (2019 - 2026)
Helen Of Troy (HELE) recorded Operating Leases of $52.83 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), up 33.9% from $39.46 million a year earlier but down 4.3% from the prior quarter.
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Analysis
Helen Of Troy (HELE) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Helen Of Troy reported Operating Leases of $52.88 million, up 32.4% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of 6.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $39.95 million in FY2025 (+7.2%), $37.26 million in FY2024 (-12.7%), $42.67 million in FY2023 (-2.5%) and $43.75 million in FY2022 (+14.1%).
- Quarterly Operating Leases has ranged from $35.6 million in fiscal Q3 2022 to $55.2 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Operating Leases has increased for eight consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 34.6% in fiscal Q1 2027, against a decline of 12.7% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $55.2 million (Q1 2027), $52.88 million (Q4 2026) and $54.49 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn |
| 10 | Helen Of Troy | 683.94 Mn | 593.65 Mn | 230.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 52.83 Mn |
| May 31, 2026 | 55.20 Mn |
| Feb 28, 2026 | 52.88 Mn |
| Nov 30, 2025 | 54.49 Mn |
| Aug 31, 2025 | 39.46 Mn |
| May 31, 2025 | 41.00 Mn |
| Feb 28, 2025 | 39.95 Mn |
| Nov 30, 2024 | 40.87 Mn |
| Aug 31, 2024 | 37.06 Mn |
| May 31, 2024 | 38.24 Mn |
| Feb 29, 2024 | 37.26 Mn |
| Nov 30, 2023 | 39.26 Mn |
| Aug 31, 2023 | 41.04 Mn |
| May 31, 2023 | 41.32 Mn |
| Feb 28, 2023 | 42.67 Mn |
| Nov 30, 2022 | 44.28 Mn |
| Aug 31, 2022 | 45.63 Mn |
| May 31, 2022 | 47.27 Mn |
| Feb 28, 2022 | 43.75 Mn |
| Nov 30, 2021 | 35.60 Mn |
API Access
Helen Of Troy Operating Leases 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-leases&ticker=HELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=HELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();