Jayud Global Logistics (JYD) Accumulated Expenses (2021 - 2025)
Jayud Global Logistics' Accumulated Expenses came in at $2.05 million for the quarter ended Dec 31, 2025, up 21.9% from $1.68 million a year earlier.
Jayud Global Logistics (JYD) Accumulated Expenses (2021 - 2025) Analysis & Trends
As of Dec 31, 2025, Jayud Global Logistics' Accumulated Expenses was $2.07 million, up 23.1% from the prior year.
- Accumulated Expenses has increased in each of the last three years, with a four-year compound annual growth rate of 16.5% (years ended Dec 2021 to Dec 2025).
- Going back by year, Accumulated Expenses was $1.68 million in the year ended Dec 31, 2024 (+59.1%), $1.06 million in the year ended Dec 31, 2023 (+74.5%), $605,596 in the year ended Dec 31, 2022 (-46.0%) and $1.12 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2021.
- Year-over-year, Accumulated Expenses increased in three of the last four quarters, with growth averaging 35.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Jayud Global Logistics | 3.43 Mn | -15.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.08 Mn |
| Jun 30, 2025 | 795,106.00 |
| Dec 31, 2024 | 1.66 Mn |
| Jun 30, 2024 | 1.89 Mn |
| Dec 31, 2023 | 1.05 Mn |
| Jun 30, 2023 | 881,189.00 |
| Dec 31, 2022 | 605,726.22 |
| Dec 31, 2021 | 1.14 Mn |
Jayud Global Logistics 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=JYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "JYD", "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=JYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();