Herbalife (HLF) Operating Income (2009 - 2026)
Herbalife (HLF) reported Operating Income of $128.3 million for Q2 2026, down 3.2% from $132.6 million a year earlier and down 7.3% from the prior quarter.
Herbalife (HLF) Operating Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Herbalife's Operating Income came in at $492.3 million, up 0.7% year-over-year; for FY2025, it was $481 million, up 24.6% from FY2024.
- Operating Income has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- By year, Operating Income came in at $385.9 million in FY2024 (+8.3%), $356.4 million in FY2023 (-34.6%), $545.2 million in FY2022 (-25.7%) and $734.1 million in FY2021 (+14.6%).
- Five-year quarterly Operating Income spans a low of $55.8 million in Q4 2023 and a high of $189.4 million in Q3 2021.
- Year over year, Operating Income gained in five of the last eight quarters, with growth averaging 31.0%.
- The high point for year-over-year Operating Income in five years was Q4 2024 (growth of 90.9%); the low point was Q1 2023 (a decline of 54.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $138.4 million (Q1 2026), $99.8 million (Q4 2025) and $125.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 3.95 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 1.02 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | -39.00 Mn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 699.00 Mn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 633.00 Mn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 276.40 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 474.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 102.44 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Herbalife | 1.44 Bn | -44.99 Mn | 1.03 Bn | 128.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.30 Mn |
| Mar 31, 2026 | 138.40 Mn |
| Dec 31, 2025 | 99.80 Mn |
| Sep 30, 2025 | 125.80 Mn |
| Jun 30, 2025 | 132.60 Mn |
| Mar 31, 2025 | 122.80 Mn |
| Dec 31, 2024 | 106.50 Mn |
| Sep 30, 2024 | 127.10 Mn |
| Jun 30, 2024 | 80.40 Mn |
| Mar 31, 2024 | 71.90 Mn |
| Dec 31, 2023 | 55.80 Mn |
| Sep 30, 2023 | 106.70 Mn |
| Jun 30, 2023 | 123.40 Mn |
| Mar 31, 2023 | 70.50 Mn |
| Dec 31, 2022 | 88.90 Mn |
| Sep 30, 2022 | 147.40 Mn |
| Jun 30, 2022 | 155.80 Mn |
| Mar 31, 2022 | 153.10 Mn |
| Dec 31, 2021 | 84.30 Mn |
| Sep 30, 2021 | 189.40 Mn |
Herbalife Operating Income 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-income&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();