Herbalife (HLF) Exchange Rate Effect (2009 - 2026)
Herbalife's (HLF) quarterly Exchange Rate Effect came in at -$8.2 million in Q2 2026, down 210.81% year-over-year from $7.4 million in Q2 2025, and down 18.84% quarter-over-quarter from -$6.9 million in Q1 2026.
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Analysis
Herbalife (HLF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Herbalife has disclosed Exchange Rate Effect across 18 years of filings, most recently posting -$8.2 million for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 210.81% year-over-year to -$8.2 million; the TTM figure through Jun 2026 stood at -$18.1 million (down 1306.67% YoY), while the FY2025 annual figure was $8.1 million, up 135.37% from the prior year.
- Exchange Rate Effect came in at -$8.2 million for Q2 2026 at Herbalife, down from -$6.9 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $14.3 million in Q4 2022 to a low of -$25.0 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is -$2.8 million, with a median of -$2.9 million recorded in 2023.
- The largest YoY upside for Exchange Rate Effect was 342.37% in 2022 against a maximum downside of 439.58% in 2022.
- Over 5 years, Exchange Rate Effect stood at $14.3 million in 2022, then slipped by 27.97% to $10.3 million in 2023, then plunged by 243.69% to -$14.8 million in 2024, then jumped by 102.7% to $400000.0 in 2025, then tumbled by 2150.0% to -$8.2 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$8.2 million in Q2 2026, -$6.9 million in Q1 2026, and $400000.0 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Colgate Palmolive | 69.39 Bn | 68.35 Bn | 3.30 Bn | 13.00 Mn |
| 2 | Kenvue | 34.31 Bn | 33.20 Bn | 2.30 Bn | 12.00 Mn |
| 3 | Kimberly Clark | 32.90 Bn | 32.07 Bn | 1.60 Bn | 1.00 Mn |
| 4 | Bath & Body Works | 3.47 Bn | 2.68 Bn | 692.00 Mn | - |
| 5 | Prestige Consumer Healthcare | 2.68 Bn | 2.62 Bn | - | - |
| 6 | Perrigo | 1.98 Bn | 1.58 Bn | 313.90 Mn | -3.00 Mn |
| 7 | Edgewell Personal Care | 1.29 Bn | 891.79 Mn | 242.50 Mn | 100,000.00 |
| 8 | Herbalife | 1.28 Bn | 919.85 Mn | 1.03 Bn | -8.20 Mn |
| 9 | TFA Therapeutics | 1.02 Bn | 1.02 Bn | - | - |
| 10 | Honest Company | 620.33 Mn | 514.43 Mn | 40.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.20 Mn |
| Mar 31, 2026 | -6.90 Mn |
| Dec 31, 2025 | 400,000.00 |
| Sep 30, 2025 | -3.40 Mn |
| Jun 30, 2025 | 7.40 Mn |
| Mar 31, 2025 | 3.70 Mn |
| Dec 31, 2024 | -14.80 Mn |
| Sep 30, 2024 | 5.20 Mn |
| Jun 30, 2024 | -7.50 Mn |
| Mar 31, 2024 | -5.80 Mn |
| Dec 31, 2023 | 10.30 Mn |
| Sep 30, 2023 | -8.50 Mn |
| Jun 30, 2023 | -2.50 Mn |
| Mar 31, 2023 | 5.50 Mn |
| Dec 31, 2022 | 14.30 Mn |
| Sep 30, 2022 | -25.00 Mn |
| Jun 30, 2022 | -16.30 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | -5.90 Mn |
| Sep 30, 2021 | -6.60 Mn |
API Access
Herbalife Exchange Rate Effect 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=exchange-rate-effect&ticker=HLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();