Phunware (PHUN) Return on Sales [ROS] (2019 - 2026)
Phunware's Return on Sales [ROS] came in at -757.07% for Q2 2026, up 179.19 percentage points from -936.26% a year earlier but down 15.00 percentage points from the prior quarter.
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Analysis
Phunware (PHUN) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Phunware reported Return on Sales [ROS] of -782.12%, down 67.32 percentage points year-over-year; for FY2025, it came in at -803.72%, down 368.19 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -628.76 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -435.53% in FY2024 (+510.06 pp), -945.59% in FY2023 (-577.07 pp), -368.52% in FY2022 (-210.25 pp) and -158.26% in FY2021 (+16.70 pp).
- The five-year range for quarterly Return on Sales [ROS] is -2088.51% (Q4 2023) to -74.09% (Q1 2022).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +85.15 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 1262.33 percentage points), and the weakest in Q4 2023 (a drop of 1719.99 percentage points).
- Business Quant data shows PHUN's Return on Sales [ROS] at -742.07% (Q1 2026), -1008.25% (Q4 2025) and -562.70% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Phunware | 40.90 Mn | 40.90 Mn | 551,000.00 | -757.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -757.07% |
| Mar 31, 2026 | -742.07% |
| Dec 31, 2025 | -1,008.25% |
| Sep 30, 2025 | -562.70% |
| Jun 30, 2025 | -936.26% |
| Mar 31, 2025 | -699.71% |
| Dec 31, 2024 | -826.18% |
| Sep 30, 2024 | -479.70% |
| Jun 30, 2024 | -290.21% |
| Mar 31, 2024 | -312.05% |
| Dec 31, 2023 | -2,088.51% |
| Sep 30, 2023 | -1,060.54% |
| Jun 30, 2023 | -470.04% |
| Mar 31, 2023 | -498.07% |
| Dec 31, 2022 | -368.52% |
| Sep 30, 2022 | -165.57% |
| Jun 30, 2022 | -137.37% |
| Mar 31, 2022 | -74.09% |
| Dec 31, 2021 | -96.30% |
| Sep 30, 2021 | -186.90% |
API Access
Phunware 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=PHUN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PHUN", "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=PHUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();