Hongli (HLP) Accumulated Expenses (2021 - 2025)
Hongli (HLP) posted Accumulated Expenses of $777,588 for the quarter ended Dec 31, 2025, up 11.9% from $694,712 a year earlier.
Analysis
Hongli (HLP) Accumulated Expenses (2021 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2021, Hongli has reported Accumulated Expenses for 8 quarters.
- Annual Accumulated Expenses shows a four-year compound annual growth rate of -1.0% (years ended Dec 2021 to Dec 2025).
- In prior years, Hongli's Accumulated Expenses was $694,712 in the year ended Dec 31, 2024 (+40.3%), $495,032 in the year ended Dec 31, 2023 (-48.2%), $955,676 in the year ended Dec 31, 2022 (+18.2%) and $808,474 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
- On a year-over-year basis, Accumulated Expenses increased in three of the last four quarters, with growth averaging 14.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Hongli | 185.07 Mn | 180.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 777,588.00 |
| Jun 30, 2025 | 531,550.00 |
| Dec 31, 2024 | 694,712.00 |
| Jun 30, 2024 | 420,508.00 |
| Dec 31, 2023 | 495,032.00 |
| Jun 30, 2023 | 541,960.00 |
| Dec 31, 2022 | 955,676.00 |
| Dec 31, 2021 | 808,474.00 |
API Access
Hongli Accumulated Expenses 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=accumulated-expenses&ticker=HLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();