Herbalife (HLF) Land & Improvements (2012 - 2025)
Herbalife (HLF) recorded Land & Improvements of $22.4 million in Q4 2025, unchanged from $22.4 million a year earlier.
Analysis
Herbalife (HLF) Land & Improvements (2012 - 2025) Analysis & Trends
Starting with Q4 2012, Herbalife's Land & Improvements history includes 14 quarters.
- Annual Land & Improvements has a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- Across earlier years, Land & Improvements came in at $22.4 million in FY2024 (-56.3%), $51.2 million in FY2023 (unchanged), $51.2 million in FY2022 (unchanged) and $51.2 million in FY2021 (+0.2%).
- Quarterly Land & Improvements has ranged from $22.4 million in Q4 2024 to $51.2 million in Q4 2023 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | - |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | - |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 143.00 Mn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | - |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | - |
| 10 | Herbalife | 1.29 Bn | -185.76 Mn | 1.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 22.40 Mn |
| Dec 31, 2024 | 22.40 Mn |
| Dec 31, 2023 | 51.20 Mn |
| Dec 31, 2022 | 51.20 Mn |
| Dec 31, 2021 | 51.20 Mn |
| Dec 31, 2020 | 51.10 Mn |
| Dec 31, 2019 | 51.10 Mn |
| Dec 31, 2018 | 51.10 Mn |
| Dec 31, 2017 | 51.00 Mn |
| Dec 31, 2016 | 51.00 Mn |
| Dec 31, 2015 | 22.20 Mn |
| Dec 31, 2014 | 22.20 Mn |
| Dec 31, 2013 | 22.20 Mn |
| Dec 31, 2012 | 22.19 Mn |
API Access
Herbalife Land & Improvements 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=land-and-improvements&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();