Hongli (HLP) Non-cash Items (2024 - 2025)
Analysis
Hongli (HLP) Non-cash Items (2024 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.01 Bn | 304.71 Bn | 7.76 Bn |
| 2 | Amphenol | 194.01 Bn | 188.59 Bn | 3.55 Bn |
| 3 | Deere | 171.31 Bn | 139.40 Bn | 4.66 Bn |
| 4 | Eaton | 148.04 Bn | 145.23 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 117.91 Bn | 116.04 Bn | 2.25 Bn |
| 6 | 3M | 89.15 Bn | 70.55 Bn | 2.68 Bn |
| 7 | Emerson Electric | 88.98 Bn | 81.72 Bn | 2.66 Bn |
| 8 | Vertiv Holdings | 78.36 Bn | 68.99 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 78.18 Bn | 74.74 Bn | 1.90 Bn |
| 10 | Hongli | 218.85 Mn | 214.27 Mn | - |
API Access
Hongli Non-cash Items 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=non-cash-items&ticker=HLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "ticker": "HLP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-cash-items&ticker=HLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();