Herbalife (HLF) Total Non-Current Liabilities (2009 - 2026)
Herbalife's Total Non-Current Liabilities was $3.14 billion in Q2 2026, down 3.0% from $3.23 billion a year earlier and down 0.7% from the prior quarter.
Herbalife (HLF) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Herbalife came in at $3.15 billion, down 6.8% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.38 billion in FY2024 (-8.7%), $3.7 billion in FY2023 (-3.5%), $3.83 billion in FY2022 (-4.6%) and $4.01 billion in FY2021 (+7.4%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2020.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 17 straight quarters, with an average decline of 6.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 8.3%); the worst was Q4 2024 (a decline of 8.7%).
- Per Business Quant data, HLF's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.16 billion (Q1 2026), $3.15 billion (Q4 2025) and $3.16 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Herbalife | 1.44 Bn | -44.99 Mn | 1.03 Bn | 3.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.14 Bn |
| Mar 31, 2026 | 3.16 Bn |
| Dec 31, 2025 | 3.15 Bn |
| Sep 30, 2025 | 3.16 Bn |
| Jun 30, 2025 | 3.23 Bn |
| Mar 31, 2025 | 3.27 Bn |
| Dec 31, 2024 | 3.38 Bn |
| Sep 30, 2024 | 3.43 Bn |
| Jun 30, 2024 | 3.47 Bn |
| Mar 31, 2024 | 3.51 Bn |
| Dec 31, 2023 | 3.70 Bn |
| Sep 30, 2023 | 3.66 Bn |
| Jun 30, 2023 | 3.75 Bn |
| Mar 31, 2023 | 3.75 Bn |
| Dec 31, 2022 | 3.83 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 4.03 Bn |
| Mar 31, 2022 | 4.08 Bn |
| Dec 31, 2021 | 4.01 Bn |
| Sep 30, 2021 | 3.97 Bn |
Herbalife Total Non-Current 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-non-current-liabilities&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HLF", "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-non-current-liabilities&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();