Helen Of Troy (HELE) Operating Leases (2019 - 2026)
Helen Of Troy (HELE) recorded Operating Leases of $55.2 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 34.6% from $41 million a year earlier and up 4.4% from the prior quarter.
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%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has increased for seven consecutive quarters, with growth averaging 14.5% 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 $52.88 million (Q4 2026), $54.49 million (Q3 2026) and $39.46 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn |
| 10 | Helen Of Troy | 679.01 Mn | 588.93 Mn | 184.86 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 36.72 Mn |
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_KEY
import 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();