Helen Of Troy (HELE) Total Liabilities (2011 - 2026)
Helen Of Troy (HELE) posted Total Liabilities of $1.24 billion for fiscal Q2 2027 (quarter ended Aug 31, 2026), down 16.1% from $1.48 billion a year earlier but up 0.5% from the prior quarter.
Helen Of Troy (HELE) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Helen Of Troy's Total Liabilities came in at $1.32 billion, down 9.1% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- In prior fiscal years, Helen Of Troy's Total Liabilities was $1.45 billion in FY2025 (+20.6%), $1.2 billion in FY2024 (-15.7%), $1.42 billion in FY2023 (-4.8%) and $1.5 billion in FY2022 (+46.1%).
- Quarterly Total Liabilities has run from a low of $1.13 billion in fiscal Q3 2022 to a high of $1.83 billion in fiscal Q2 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 61.3%; the weakest was fiscal Q1 2024, with a decline of 24.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.24 billion (Q1 2027), $1.32 billion (Q4 2026) and $1.49 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.19 Bn | 25.85 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.34 Bn | 12.88 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.37 Bn | 1.53 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.08 Bn | 979.53 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.75 Bn | -1.72 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Arhaus | 1.59 Bn | 666.03 Mn | 172.07 Mn | 1.04 Bn |
| 8 | Corsair Gaming | 1.47 Bn | 999.27 Mn | 104.29 Mn | 551.41 Mn |
| 9 | Millerknoll | 1.43 Bn | 731.94 Mn | 385.30 Mn | 2.65 Bn |
| 10 | Helen Of Troy | 673.69 Mn | 583.40 Mn | 230.12 Mn | 1.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.24 Bn |
| May 31, 2026 | 1.24 Bn |
| Feb 28, 2026 | 1.32 Bn |
| Nov 30, 2025 | 1.49 Bn |
| Aug 31, 2025 | 1.48 Bn |
| May 31, 2025 | 1.42 Bn |
| Feb 28, 2025 | 1.45 Bn |
| Nov 30, 2024 | 1.34 Bn |
| Aug 31, 2024 | 1.31 Bn |
| May 31, 2024 | 1.27 Bn |
| Feb 29, 2024 | 1.20 Bn |
| Nov 30, 2023 | 1.37 Bn |
| Aug 31, 2023 | 1.40 Bn |
| May 31, 2023 | 1.36 Bn |
| Feb 28, 2023 | 1.42 Bn |
| Nov 30, 2022 | 1.67 Bn |
| Aug 31, 2022 | 1.83 Bn |
| May 31, 2022 | 1.79 Bn |
| Feb 28, 2022 | 1.50 Bn |
| Nov 30, 2021 | 1.13 Bn |
Helen Of Troy Total Liabilities 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=total-liabilities&ticker=HELE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();