Mobivity Holdings (MFON) Operating Expenses (2010 - 2025)
Mobivity Holdings (MFON) posted Operating Expenses of $2.65 million for Q3 2025, up 256.6% from $744,470 a year earlier and up 12.9% from the prior quarter.
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Analysis
Mobivity Holdings (MFON) Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Mobivity Holdings was $13.16 million, up 13.1% year-over-year; for FY2024, it came in at $7.76 million, down 19.9% from FY2023.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -9.1% (FY2019 to FY2024).
- In prior years, Mobivity Holdings' Operating Expenses was $9.68 million in FY2023 (-15.3%), $11.43 million in FY2022 (-10.3%), $12.75 million in FY2021 (+21.8%) and $10.46 million in FY2020 (-16.3%).
- Quarterly Operating Expenses has run from a low of $744,470 in Q3 2024 to a high of $6.92 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 32.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 256.6%; the weakest was Q3 2024, with a decline of 52.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.35 million (Q2 2025), $2.33 million (Q1 2025) and $5.81 million (Q4 2024).
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 | Mobivity Holdings | 2.96 Mn | -2.31 Mn | 261,851.00 | 2.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.65 Mn |
| Jun 30, 2025 | 2.35 Mn |
| Mar 31, 2025 | 2.33 Mn |
| Dec 31, 2024 | 5.81 Mn |
| Sep 30, 2024 | 744,470.00 |
| Jun 30, 2024 | 1.99 Mn |
| Mar 31, 2024 | 1.98 Mn |
| Dec 31, 2023 | 6.92 Mn |
| Sep 30, 2023 | 1.57 Mn |
| Jun 30, 2023 | 2.51 Mn |
| Mar 31, 2023 | 3.03 Mn |
| Dec 31, 2022 | 3.61 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 2.45 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 3.66 Mn |
| Sep 30, 2021 | 3.08 Mn |
| Jun 30, 2021 | 2.93 Mn |
| Mar 31, 2021 | 3.08 Mn |
| Dec 31, 2020 | 2.22 Mn |
API Access
Mobivity Holdings 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=MFON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MFON", "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=MFON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();