Propanc Biopharma (PPCB) Other Operating Expenses (2012 - 2025)
Propanc Biopharma's Other Operating Expenses was $16.85 million in FY2026 (year ended Jun 30, 2026), down 70.4% from $56.92 million in FY2025.
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Analysis
Propanc Biopharma (PPCB) Other Operating Expenses (2012 - 2025) Analysis & Trends
From FY2013 onward, Propanc Biopharma has reported Other Operating Expenses for 8 fiscal years.
- The FY2026 figure marks the lowest annual Other Operating Expenses since FY2018.
- Per Business Quant data, Other Operating Expenses in earlier fiscal years was $56.92 million in FY2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Propanc Biopharma | 573,091.58 | 573,091.58 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 56.92 Mn |
| Jun 30, 2019 | 6,287.00 |
| Mar 31, 2019 | 7,248.00 |
| Dec 31, 2018 | 6,449.00 |
| Sep 30, 2018 | 8,078.00 |
| Jun 30, 2018 | 6,787.00 |
| Mar 31, 2018 | 8,005.00 |
| Dec 31, 2017 | 6,899.00 |
| Sep 30, 2017 | 8,830.00 |
| Jun 30, 2017 | 6,755.00 |
| Mar 31, 2017 | 7,649.00 |
| Dec 31, 2016 | 5,991.00 |
| Sep 30, 2016 | 8,597.00 |
| Jun 30, 2016 | 9,488.00 |
| Mar 31, 2016 | 5,235.00 |
| Dec 31, 2015 | 4,889.00 |
| Sep 30, 2015 | 4,938.00 |
| Jun 30, 2015 | -3,991.00 |
| Mar 31, 2015 | 2,366.00 |
| Dec 31, 2014 | 2,567.00 |
API Access
Propanc Biopharma Other Operating 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-operating-expenses&ticker=PPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();