Panamera Holdings (PHCI) Return on Sales [ROS] (2014 - 2026)
Panamera Holdings (PHCI) recorded Return on Sales [ROS] of -81688.33% in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 81582.98 percentage points from -105.35% a year earlier and down 81631.96 percentage points from the prior quarter.
Panamera Holdings (PHCI) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For FY2025 (ended Jul 31, 2025), Panamera Holdings reported Return on Sales [ROS] of -226.04%, up 77387.03 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of -148.04 percentage points (FY2022 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -77613.07% in FY2024 and -78.01% in FY2022.
- The fiscal Q3 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2015.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last six quarters, with an average year-over-year change of -19459.68 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 38345.24 percentage points in fiscal Q4 2025, against a drop of 81582.98 percentage points in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -56.37% (Q2 2026), -77868.44% (Q1 2026) and -495.66% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | Panamera Holdings | 68.12 Mn | 67.96 Mn | - | -81,688.33% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -81,688.33% |
| Jan 31, 2026 | -56.37% |
| Oct 31, 2025 | -77,868.44% |
| Jul 31, 2025 | -495.66% |
| Apr 30, 2025 | -105.35% |
| Jan 31, 2025 | -250.07% |
| Oct 31, 2024 | -204.61% |
| Jul 31, 2024 | -38,840.89% |
| Oct 31, 2023 | -28,745.76% |
| Jul 31, 2023 | -14,249.55% |
| Apr 30, 2023 | -39.03% |
| Jan 31, 2023 | -45.72% |
| Oct 31, 2022 | -13.55% |
| Jul 31, 2022 | -16.85% |
| Apr 30, 2022 | -117.67% |
| Apr 30, 2021 | -188.44% |
| Jan 31, 2016 | -169.04% |
| Oct 31, 2015 | -294.02% |
| Jul 31, 2015 | -779.60% |
| Apr 30, 2015 | -156.02% |
Panamera Holdings 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=PHCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PHCI", "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=PHCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();