Powerdyne International (PWDY) Other Accumulated Expenses (2022 - 2026)
Powerdyne International (PWDY) recorded Other Accumulated Expenses of $273,591 in Q2 2026, up 14.9% from $238,079 a year earlier and unchanged from the prior quarter.
Powerdyne International (PWDY) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Powerdyne International reported Other Accumulated Expenses of $250,591, up 5.3% from FY2024.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of 4.0% (FY2022 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $238,079 in FY2024 (unchanged), $238,079 in FY2023 (+6.7%) and $223,079 in FY2022.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 14.9% in Q2 2026, against a decline of 1.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $273,591 (Q1 2026), $250,591 (Q4 2025) and $233,579 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273,591.00 |
| Mar 31, 2026 | 273,591.00 |
| Dec 31, 2025 | 250,591.00 |
| Sep 30, 2025 | 233,579.00 |
| Jun 30, 2025 | 238,079.00 |
| Mar 31, 2025 | 238,079.00 |
| Dec 31, 2024 | 238,079.00 |
| Sep 30, 2024 | 238,079.00 |
| Jun 30, 2024 | 238,079.00 |
| Mar 31, 2024 | 238,079.00 |
| Dec 31, 2023 | 238,079.00 |
| Sep 30, 2023 | 238,079.00 |
| Jun 30, 2023 | 213,079.00 |
| Mar 31, 2023 | 213,079.00 |
| Dec 31, 2022 | 223,079.00 |
Powerdyne International Other 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=other-accumulated-expenses&ticker=PWDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PWDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PWDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();