Phunware (PHUN) Operating Expenses (2016 - 2026)
Phunware (PHUN) reported Operating Expenses of $6.6 million for Q2 2026, up 48.3% from $4.45 million a year earlier and up 49.8% from the prior quarter.
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Analysis
Phunware (PHUN) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Phunware's Operating Expenses came in at $23.19 million, up 27.7% year-over-year; for FY2025, it came in at $21.81 million, up 42.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $15.34 million in FY2024 (-67.6%), $47.38 million in FY2023 (+72.0%), $27.54 million in FY2022 (+34.6%) and $20.46 million in FY2021 (-15.3%).
- Five-year quarterly Operating Expenses spans a low of $3.02 million in Q4 2022 and a high of $20.08 million in Q4 2023.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 5.2%.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 565.0%); the low point was Q4 2024 (a decline of 75.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.41 million (Q1 2026), $8.4 million (Q4 2025) and $3.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Phunware | 40.90 Mn | 40.90 Mn | 551,000.00 | 6.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.60 Mn |
| Mar 31, 2026 | 4.41 Mn |
| Dec 31, 2025 | 8.40 Mn |
| Sep 30, 2025 | 3.79 Mn |
| Jun 30, 2025 | 4.45 Mn |
| Mar 31, 2025 | 5.17 Mn |
| Dec 31, 2024 | 5.03 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Jun 30, 2024 | 3.40 Mn |
| Mar 31, 2024 | 3.40 Mn |
| Dec 31, 2023 | 20.08 Mn |
| Sep 30, 2023 | 13.91 Mn |
| Jun 30, 2023 | 6.62 Mn |
| Mar 31, 2023 | 6.77 Mn |
| Dec 31, 2022 | 3.02 Mn |
| Sep 30, 2022 | 8.67 Mn |
| Jun 30, 2022 | 9.06 Mn |
| Mar 31, 2022 | 6.79 Mn |
| Dec 31, 2021 | 6.41 Mn |
| Sep 30, 2021 | 5.17 Mn |
API Access
Phunware 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=PHUN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PHUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();