Erayak Power Solution (RAYA) Accumulated Expenses (2020 - 2026)
Erayak Power Solution's Accumulated Expenses was $1.21 trillion in the quarter ended Jun 30, 2026, compared with $1.5 million a year earlier.
Erayak Power Solution (RAYA) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Erayak Power Solution came in at $1.19 trillion, up 45.0% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of 1510.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $822.01 billion in the year ended Dec 31, 2024 (-76.6%), $3.52 trillion in the year ended Dec 31, 2023, $790,608 in the year ended Dec 31, 2022 (+26.2%) and $626,454 in the year ended Dec 31, 2021 (-43.0%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Erayak Power Solution | 41,530.77 | -15.07 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Mn |
| 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 | 3,519.60 Bn |
| 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();