Pharma-Bio Serv (PBSV) Revenue (2010 - 2026)
Pharma-Bio Serv (PBSV) posted Revenue of $2.34 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 19.0% from $1.96 million a year earlier but down 13.6% from the prior quarter.
Pharma-Bio Serv (PBSV) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Revenue at Pharma-Bio Serv was $9.48 million, up 3.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $9 million, down 5.3% from FY2024.
- Annual Revenue has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- In prior fiscal years, Pharma-Bio Serv's Revenue was $9.51 million in FY2024 (-44.0%), $16.98 million in FY2023 (-12.5%), $19.4 million in FY2022 (-3.6%) and $20.12 million in FY2021 (-6.7%).
- Quarterly Revenue has run from a low of $1.96 million in fiscal Q3 2025 to a high of $5.6 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with an average decline of 4.1%.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q3 2026, with growth of 19.0%; the weakest was fiscal Q2 2024, with a decline of 47.9%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $2.7 million (Q2 2026), $2.29 million (Q1 2026) and $2.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Pharma-Bio Serv | 12.60 Mn | -25.87 Mn | 691,734.00 | 2.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.34 Mn |
| Apr 30, 2026 | 2.70 Mn |
| Jan 31, 2026 | 2.29 Mn |
| Oct 31, 2025 | 2.15 Mn |
| Jul 31, 2025 | 1.96 Mn |
| Apr 30, 2025 | 2.42 Mn |
| Jan 31, 2025 | 2.47 Mn |
| Oct 31, 2024 | 2.33 Mn |
| Jul 31, 2024 | 2.42 Mn |
| Apr 30, 2024 | 2.38 Mn |
| Jan 31, 2024 | 2.38 Mn |
| Oct 31, 2023 | 3.60 Mn |
| Jul 31, 2023 | 4.58 Mn |
| Apr 30, 2023 | 4.56 Mn |
| Jan 31, 2023 | 4.24 Mn |
| Oct 31, 2022 | 4.64 Mn |
| Jul 31, 2022 | 4.77 Mn |
| Apr 30, 2022 | 4.97 Mn |
| Jan 31, 2022 | 5.02 Mn |
| Oct 31, 2021 | 5.60 Mn |
Pharma-Bio Serv Revenue 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=revenue&ticker=PBSV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PBSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();