Pharma-Bio Serv (PBSV) Return on Sales [ROS] (2010 - 2026)
Pharma-Bio Serv's Return on Sales [ROS] was -3.07% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 12.91 percentage points from -15.99% a year earlier but down 8.43 percentage points from the prior quarter.
Pharma-Bio Serv (PBSV) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pharma-Bio Serv's Return on Sales [ROS] was -1.63% through Jul 31, 2026, up 5.54 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at -7.08%, up 6.46 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -17.40 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was -13.54% in FY2024 (-20.12 pp), 6.58% in FY2023 (+0.53 pp), 6.06% in FY2022 (+25.21 pp) and -19.16% in FY2021 (-29.48 pp).
- Quarterly Return on Sales [ROS] has moved between -85.72% (fiscal Q4 2021) and 10.06% (fiscal Q3 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +5.10 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2022 (a gain of 89.36 percentage points); the worst was fiscal Q4 2021 (a drop of 88.74 percentage points).
- Per Business Quant data, PBSV's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 5.35% (Q2 2026), -4.12% (Q1 2026) and -6.20% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Pharma-Bio Serv | 11.45 Mn | -27.01 Mn | 691,734.00 | -3.07% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -3.07% |
| Apr 30, 2026 | 5.35% |
| Jan 31, 2026 | -4.12% |
| Oct 31, 2025 | -6.20% |
| Jul 31, 2025 | -15.99% |
| Apr 30, 2025 | -4.07% |
| Jan 31, 2025 | -3.73% |
| Oct 31, 2024 | -6.61% |
| Jul 31, 2024 | -15.79% |
| Apr 30, 2024 | -13.18% |
| Jan 31, 2024 | -18.41% |
| Oct 31, 2023 | -1.44% |
| Jul 31, 2023 | 10.06% |
| Apr 30, 2023 | 8.33% |
| Jan 31, 2023 | 7.75% |
| Oct 31, 2022 | 3.64% |
| Jul 31, 2022 | 7.74% |
| Apr 30, 2022 | 5.65% |
| Jan 31, 2022 | 7.09% |
| Oct 31, 2021 | -85.72% |
Pharma-Bio Serv Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PBSV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PBSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();