Pharma-Bio Serv (PBSV) Total Liabilities (2010 - 2026)
Pharma-Bio Serv (PBSV) reported Total Liabilities of $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.
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Analysis
Pharma-Bio Serv (PBSV) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Pharma-Bio Serv posted Total Liabilities of $1.74 million, down 32.5% from FY2024.
- Total Liabilities has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -24.7% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $2.58 million in FY2024 (-31.7%), $3.78 million in FY2023 (-7.8%), $4.09 million in FY2022 (-18.3%) and $5.01 million in FY2021 (-30.5%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Year over year, Total Liabilities has now declined in each of the last 14 quarters, with an average decline of 32.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2023 (growth of 27.3%); the low point was fiscal Q1 2022 (a decline of 47.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.05 million (Q2 2026), $3.31 million (Q1 2026) and $1.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Pharma-Bio Serv | 8.02 Mn | -30.45 Mn | 691,734.00 | 994,740.00 |
Historic Data
Download Data
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 | 4.08 Mn |
| Oct 31, 2024 | 2.58 Mn |
| Jul 31, 2024 | 2.63 Mn |
| Apr 30, 2024 | 2.97 Mn |
| Jan 31, 2024 | 5.07 Mn |
| Oct 31, 2023 | 3.78 Mn |
| Jul 31, 2023 | 4.11 Mn |
| Apr 30, 2023 | 3.94 Mn |
| Jan 31, 2023 | 5.91 Mn |
| Oct 31, 2022 | 4.09 Mn |
| Jul 31, 2022 | 4.18 Mn |
| Apr 30, 2022 | 4.27 Mn |
| Jan 31, 2022 | 4.64 Mn |
| Oct 31, 2021 | 5.01 Mn |
API Access
Pharma-Bio Serv Total 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-liabilities&ticker=PBSV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PBSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();