Herbalife (HLF) Cash from Operations (2009 - 2026)
Herbalife's Cash from Operations was $32.9 million in Q2 2026, down 65.7% from $96 million a year earlier and down 71.1% from the prior quarter.
Herbalife (HLF) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Herbalife's Cash from Operations was $383.8 million through Jun 30, 2026, up 44.7% year-over-year; for FY2025, it came in at $333.3 million, up 16.8% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $285.4 million in FY2024 (-20.2%), $357.5 million in FY2023 (+1.4%), $352.5 million in FY2022 (-23.4%) and $460.3 million in FY2021 (-26.8%).
- The Q2 2026 figure marks the lowest quarterly Cash from Operations since Q1 2025.
- Compared with a year earlier, Cash from Operations was higher in three of the last seven quarters, with an average decline of 13.2%.
- The best year-over-year quarter for Cash from Operations over five years was Q4 2023 (growth of 79.3%); the worst was Q1 2025 (a decline of 98.6%).
- Per Business Quant data, HLF's Cash from Operations in the three quarters before Q2 2026 was $113.8 million (Q1 2026), $98.3 million (Q4 2025) and $138.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 5.13 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 995.00 Mn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 576.00 Mn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 688.00 Mn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 908.00 Mn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 286.80 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 111.67 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 102.00 Mn |
| 10 | Herbalife | 1.44 Bn | -44.99 Mn | 1.03 Bn | 32.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.90 Mn |
| Mar 31, 2026 | 113.80 Mn |
| Dec 31, 2025 | 98.30 Mn |
| Sep 30, 2025 | 138.80 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | 69.60 Mn |
| Sep 30, 2024 | 99.50 Mn |
| Jun 30, 2024 | 102.50 Mn |
| Mar 31, 2024 | 13.80 Mn |
| Dec 31, 2023 | 96.10 Mn |
| Sep 30, 2023 | 79.60 Mn |
| Jun 30, 2023 | 135.60 Mn |
| Mar 31, 2023 | 46.20 Mn |
| Dec 31, 2022 | 53.60 Mn |
| Sep 30, 2022 | 69.60 Mn |
| Jun 30, 2022 | 98.80 Mn |
| Mar 31, 2022 | 130.50 Mn |
| Dec 31, 2021 | 85.40 Mn |
| Sep 30, 2021 | 88.00 Mn |
Herbalife Cash from Operations 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-from-operations&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();