ProPhase Labs (PRPH) Accumulated Expenses (2011 - 2022)
ProPhase Labs (PRPH) reported Accumulated Expenses of $328,000 for Q3 2022, up 30.7% from $251,000 a year earlier and up 45.1% from the prior quarter.
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Analysis
ProPhase Labs (PRPH) Accumulated Expenses (2011 - 2022) Analysis & Trends
At the end of FY2021, ProPhase Labs posted Accumulated Expenses of $300,000, down 1.3% from FY2020.
- Accumulated Expenses has a five-year compound annual growth rate of -24.2% (FY2016 to FY2021).
- By year, Accumulated Expenses came in at $304,000 in FY2020 (+39.4%), $218,000 in FY2019 (+30.5%), $167,000 in FY2018 (+153.0%) and $66,000 in FY2017 (-94.5%).
- Five-year quarterly Accumulated Expenses spans a low of $66,000 in Q4 2017 and a high of $548,000 in Q3 2020.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 40.7%.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2020 (growth of 529.9%); the low point was Q4 2017 (a decline of 94.5%).
- Per Business Quant data, the three quarters before Q3 2022 came in at $226,000 (Q2 2022), $356,000 (Q1 2022) and $300,000 (Q4 2021).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 328,000.00 |
| Jun 30, 2022 | 226,000.00 |
| Mar 31, 2022 | 356,000.00 |
| Dec 31, 2021 | 300,000.00 |
| Sep 30, 2021 | 251,000.00 |
| Jun 30, 2021 | 467,000.00 |
| Mar 31, 2021 | 305,000.00 |
| Dec 31, 2020 | 304,000.00 |
| Sep 30, 2020 | 548,000.00 |
| Jun 30, 2020 | 158,000.00 |
| Mar 31, 2020 | 122,000.00 |
| Dec 31, 2019 | 218,000.00 |
| Sep 30, 2019 | 87,000.00 |
| Jun 30, 2019 | 123,000.00 |
| Mar 31, 2019 | 108,000.00 |
| Dec 31, 2018 | 167,000.00 |
| Sep 30, 2018 | 117,000.00 |
| Jun 30, 2018 | 76,000.00 |
| Mar 31, 2018 | 84,000.00 |
| Dec 31, 2017 | 66,000.00 |
API Access
ProPhase Labs 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=PRPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PRPH", "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=PRPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();