Herbalife (HLF) Cash & Equivalents (2009 - 2026)
Herbalife (HLF) posted Cash & Equivalents of $370.5 million for Q2 2026, up 7.8% from $343.6 million a year earlier but down 17.9% from the prior quarter.
Herbalife (HLF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Herbalife's Cash & Equivalents came in at $353.1 million, down 19.4% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- In prior years, Herbalife's Cash & Equivalents was $438.1 million in FY2024 (-26.4%), $595.5 million in FY2023 (+15.3%), $516.3 million in FY2022 (-15.4%) and $610.4 million in FY2021 (-42.1%).
- Quarterly Cash & Equivalents has run from a low of $305.5 million in Q3 2025 to a high of $687 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 10.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2026, with growth of 28.5%; the weakest was Q4 2021, with a decline of 42.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $451.2 million (Q1 2026), $353.1 million (Q4 2025) and $305.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 373.44 Bn | 325.24 Bn | 11.60 Bn | 15.37 Bn |
| 2 | Colgate Palmolive | 74.95 Bn | 70.01 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Estee Lauder Companies | 39.37 Bn | 27.45 Bn | 2.74 Bn | 3.50 Bn |
| 4 | Kenvue | 37.58 Bn | 33.19 Bn | 2.30 Bn | 1.11 Bn |
| 5 | Kimberly Clark | 36.64 Bn | 33.96 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 24.96 Bn | 23.48 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 10.45 Bn | 8.89 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.70 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.52 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Herbalife | 1.40 Bn | -68.38 Mn | 1.03 Bn | 370.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.50 Mn |
| Mar 31, 2026 | 451.20 Mn |
| Dec 31, 2025 | 353.10 Mn |
| Sep 30, 2025 | 305.50 Mn |
| Jun 30, 2025 | 343.60 Mn |
| Mar 31, 2025 | 351.00 Mn |
| Dec 31, 2024 | 438.10 Mn |
| Sep 30, 2024 | 417.90 Mn |
| Jun 30, 2024 | 389.30 Mn |
| Mar 31, 2024 | 412.50 Mn |
| Dec 31, 2023 | 595.50 Mn |
| Sep 30, 2023 | 516.00 Mn |
| Jun 30, 2023 | 547.30 Mn |
| Mar 31, 2023 | 461.80 Mn |
| Dec 31, 2022 | 516.30 Mn |
| Sep 30, 2022 | 540.70 Mn |
| Jun 30, 2022 | 589.90 Mn |
| Mar 31, 2022 | 578.60 Mn |
| Dec 31, 2021 | 610.40 Mn |
| Sep 30, 2021 | 687.00 Mn |
Herbalife Cash & Equivalents 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=cash-and-equivalents&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();