Purple Biotech (PPBT) Total Current Liabilities (2014 - 2026)
Purple Biotech (PPBT) posted Total Current Liabilities of $1.78 million for Q2 2026, down 18.5% from $2.19 million a year earlier and down 61.2% from the prior quarter.
Purple Biotech (PPBT) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Purple Biotech's Total Current Liabilities came in at $7.75 million, up 94.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In prior years, Purple Biotech's Total Current Liabilities was $3.99 million in FY2024 (-58.9%), $9.7 million in FY2023 (+37.4%), $7.06 million in FY2022 (+66.1%) and $4.25 million in FY2021 (+37.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q2 2017.
- On a year-over-year basis, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 6.4%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 94.5%; the weakest was Q1 2025, with a decline of 67.6%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $4.59 million (Q1 2026), $7.75 million (Q4 2025) and $6.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Purple Biotech | 249,214.64 | 191,214.64 | - | 1.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.78 Mn |
| Mar 31, 2026 | 4.59 Mn |
| Dec 31, 2025 | 7.75 Mn |
| Sep 30, 2025 | 6.06 Mn |
| Jun 30, 2025 | 2.19 Mn |
| Mar 31, 2025 | 2.76 Mn |
| Dec 31, 2024 | 3.99 Mn |
| Sep 30, 2024 | 5.46 Mn |
| Jun 30, 2024 | 6.47 Mn |
| Mar 31, 2024 | 8.51 Mn |
| Dec 31, 2023 | 9.70 Mn |
| Sep 30, 2023 | 6.22 Mn |
| Jun 30, 2023 | 4.88 Mn |
| Mar 31, 2023 | 5.62 Mn |
| Dec 31, 2022 | 7.06 Mn |
| Sep 30, 2022 | 5.93 Mn |
| Jun 30, 2022 | 5.39 Mn |
| Mar 31, 2022 | 7.19 Mn |
| Dec 31, 2021 | 4.25 Mn |
| Sep 30, 2021 | 3.43 Mn |
Purple Biotech Total Current Liabilities 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=total-current-liabilities&ticker=PPBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "PPBT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=PPBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();