Erayak Power Solution (RAYA) Accumulated Expenses (2020 - 2025)
Erayak Power Solution's Accumulated Expenses was $1.19 million in the quarter ended Dec 31, 2025, up 45.0% from $822,014 a year earlier.
Erayak Power Solution (RAYA) Accumulated Expenses (2020 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2020 onward, Erayak Power Solution has reported Accumulated Expenses for 9 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 1.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $822,014 in the year ended Dec 31, 2024 (-89.6%), $7.88 million in the year ended Dec 31, 2023 (+896.3%), $790,608 in the year ended Dec 31, 2022 (+26.2%) and $626,454 in the year ended Dec 31, 2021 (-43.0%).
- Quarterly Accumulated Expenses has moved between $462,448 (the quarter ended Jun 30, 2023) and $7.88 million (the quarter ended Dec 31, 2023) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last four quarters, with growth averaging 34.1%.
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 | Erayak Power Solution | 175,414.12 | -7.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Dec 31, 2024 | 822,014.00 |
| Jun 30, 2024 | 1.17 Mn |
| Dec 31, 2023 | 7.88 Mn |
| Jun 30, 2023 | 462,448.00 |
| Dec 31, 2022 | 790,608.00 |
| Dec 31, 2021 | 626,454.00 |
| Dec 31, 2020 | 1.10 Mn |
Erayak Power Solution 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=RAYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RAYA", "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=RAYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();