Pharma-Bio Serv (PBSV) Operating Expenses (2010 - 2026)
Pharma-Bio Serv (PBSV) recorded Operating Expenses of $763,546 in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 14.0% from $888,139 a year earlier but up 0.8% from the prior quarter.
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Analysis
Pharma-Bio Serv (PBSV) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Pharma-Bio Serv's Operating Expenses came in at $3.22 million as of Jul 31, 2026, down 9.2% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $3.55 million, down 6.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $3.8 million in FY2024 (-3.7%), $3.95 million in FY2023 (+6.5%), $3.71 million in FY2022 (-59.8%) and $9.21 million in FY2021 (+107.5%).
- Quarterly Operating Expenses has ranged from $757,365 in fiscal Q2 2026 to $6.3 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with an average decline of 9.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 422.1% in fiscal Q4 2021, against a decline of 85.1% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $757,365 (Q2 2026), $816,909 (Q1 2026) and $882,207 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Pharma-Bio Serv | 8.02 Mn | -30.45 Mn | 691,734.00 | 763,546.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 763,546.00 |
| Apr 30, 2026 | 757,365.00 |
| Jan 31, 2026 | 816,909.00 |
| Oct 31, 2025 | 882,207.00 |
| Jul 31, 2025 | 888,139.00 |
| Apr 30, 2025 | 917,048.00 |
| Jan 31, 2025 | 860,300.00 |
| Oct 31, 2024 | 880,700.00 |
| Jul 31, 2024 | 1.02 Mn |
| Apr 30, 2024 | 931,850.00 |
| Jan 31, 2024 | 973,909.00 |
| Oct 31, 2023 | 981,570.00 |
| Jul 31, 2023 | 1.09 Mn |
| Apr 30, 2023 | 966,365.00 |
| Jan 31, 2023 | 911,524.00 |
| Oct 31, 2022 | 939,683.00 |
| Jul 31, 2022 | 942,809.00 |
| Apr 30, 2022 | 935,276.00 |
| Jan 31, 2022 | 888,735.00 |
| Oct 31, 2021 | 6.30 Mn |
API Access
Pharma-Bio Serv 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=operating-expenses&ticker=PBSV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PBSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();