Pharma-Bio Serv (PBSV) Total Current Liabilities (2010 - 2026)
Pharma-Bio Serv's Total Current Liabilities came in at $994,740 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 40.0% from $1.66 million a year earlier and down 4.8% from the prior quarter.
Pharma-Bio Serv (PBSV) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Pharma-Bio Serv's Total Current Liabilities was $1.74 million, down 7.9% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -14.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $1.89 million in FY2024 (-12.4%), $2.15 million in FY2023 (+2.2%), $2.11 million in FY2022 (-21.0%) and $2.67 million in FY2021 (-29.6%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Current Liabilities has declined for ten consecutive quarters, with an average decline of 17.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2024 (growth of 87.5%), and the weakest in fiscal Q1 2022 (a decline of 58.1%).
- Business Quant data shows PBSV's Total Current Liabilities at $1.05 million (Q2 2026), $3.31 million (Q1 2026) and $1.74 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Pharma-Bio Serv | 8.02 Mn | -30.45 Mn | 691,734.00 | 994,740.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 994,740.00 |
| Apr 30, 2026 | 1.05 Mn |
| Jan 31, 2026 | 3.31 Mn |
| Oct 31, 2025 | 1.74 Mn |
| Jul 31, 2025 | 1.66 Mn |
| Apr 30, 2025 | 1.78 Mn |
| Jan 31, 2025 | 3.42 Mn |
| Oct 31, 2024 | 1.89 Mn |
| Jul 31, 2024 | 1.90 Mn |
| Apr 30, 2024 | 2.20 Mn |
| Jan 31, 2024 | 3.68 Mn |
| Oct 31, 2023 | 2.15 Mn |
| Jul 31, 2023 | 2.45 Mn |
| Apr 30, 2023 | 2.24 Mn |
| Jan 31, 2023 | 1.96 Mn |
| Oct 31, 2022 | 2.11 Mn |
| Jul 31, 2022 | 2.16 Mn |
| Apr 30, 2022 | 2.19 Mn |
| Jan 31, 2022 | 2.32 Mn |
| Oct 31, 2021 | 2.67 Mn |
Pharma-Bio Serv 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=PBSV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "PBSV", "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=PBSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();