Propanc Biopharma (PPCB) Accumulated Expenses (2017 - 2023)
Propanc Biopharma's Accumulated Expenses was $83,277 in fiscal Q3 2023 (quarter ended Mar 31, 2023), up 376.4% from the prior quarter.
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Analysis
Propanc Biopharma (PPCB) Accumulated Expenses (2017 - 2023) Analysis & Trends
At the end of FY2021 (ended Jun 30, 2021), Accumulated Expenses at Propanc Biopharma came in at $84,000.
- Accumulated Expenses shows a four-year compound annual growth rate of -14.2% (FY2017 to FY2021).
- In earlier fiscal years, Accumulated Expenses was $5,248 in FY2020 (-96.6%), $155,000 in FY2019 (unchanged), $155,000 in FY2018 (unchanged) and $155,000 in FY2017.
- The fiscal Q3 2023 figure marks the highest quarterly Accumulated Expenses since fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Propanc Biopharma | 550,617.42 | 550,617.42 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 83,277.00 |
| Dec 31, 2022 | 17,479.00 |
| Sep 30, 2022 | 54,765.00 |
| Dec 31, 2021 | 45,030.00 |
| Jun 30, 2021 | 84,000.00 |
| Jun 30, 2020 | 5,248.00 |
| Mar 31, 2020 | 5,248.00 |
| Jun 30, 2019 | 155,000.00 |
| Mar 31, 2019 | 155,000.00 |
| Dec 31, 2018 | 155,000.00 |
| Sep 30, 2018 | 155,000.00 |
| Jun 30, 2018 | 155,000.00 |
| Dec 31, 2017 | 155,000.00 |
| Sep 30, 2017 | 155,000.00 |
| Jun 30, 2017 | 155,000.00 |
API Access
Propanc Biopharma 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=PPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PPCB", "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=PPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();