Portsmouth Square Inc (PRSI) Other Accumulated Expenses (2019 - 2024)
Portsmouth Square's Other Accumulated Expenses came in at $198,000 for fiscal Q4 2024 (quarter ended Jun 30, 2024), up 2.1% from $194,000 a year earlier but down 6.6% from the prior quarter.
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Analysis
Portsmouth Square Inc (PRSI) Other Accumulated Expenses (2019 - 2024) Analysis & Trends
Going back to fiscal Q4 2019, Portsmouth Square's Other Accumulated Expenses data covers 16 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -37.3% (FY2019 to FY2024).
- Going back by fiscal year, Other Accumulated Expenses was $194,000 in FY2023 (+19.8%), $162,000 in FY2022 and $1.01 million in FY2020 (-50.8%).
- The five-year range for quarterly Other Accumulated Expenses is $162,000 (fiscal Q4 2022) to $2.06 million (fiscal Q1 2023).
- Year-over-year, Other Accumulated Expenses increased in two of the last seven quarters, with an average decline of 37.5%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q4 2023 (growth of 19.8%), and the weakest in fiscal Q1 2024 (a decline of 87.7%).
- Business Quant data shows PRSI's Other Accumulated Expenses at $212,000 (Q3 2024), $253,000 (Q2 2024) and $252,000 (Q1 2024) in the three fiscal quarters before Q4 2024.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 198,000.00 |
| Mar 31, 2024 | 212,000.00 |
| Dec 31, 2023 | 253,000.00 |
| Sep 30, 2023 | 252,000.00 |
| Jun 30, 2023 | 194,000.00 |
| Mar 31, 2023 | 611,000.00 |
| Dec 31, 2022 | 980,000.00 |
| Sep 30, 2022 | 2.06 Mn |
| Jun 30, 2022 | 162,000.00 |
| Mar 31, 2022 | 1.34 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Jun 30, 2020 | 1.01 Mn |
| Mar 31, 2020 | 1.26 Mn |
| Dec 31, 2019 | 1.86 Mn |
| Sep 30, 2019 | 999,000.00 |
| Jun 30, 2019 | 2.05 Mn |
API Access
Portsmouth Square Inc 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=PRSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PRSI", "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=PRSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();