Mobivity Holdings (MFON) Research & Development (2010 - 2025)
Mobivity Holdings' Research & Development came in at $739,318 for Q3 2025, up 128.4% from $323,752 a year earlier but down 1.2% from the prior quarter.
Mobivity Holdings (MFON) Research & Development (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Mobivity Holdings reported Research & Development of $5.05 million, down 0.8% year-over-year; for FY2024, it came in at $3.6 million, up 16.1% from FY2023.
- Research & Development carries a five-year compound annual growth rate of -0.1% (FY2019 to FY2024).
- Going back by year, Research & Development was $3.1 million in FY2023 (+1.2%), $3.06 million in FY2022 (-14.6%), $3.58 million in FY2021 (+1.4%) and $3.54 million in FY2020 (-2.1%).
- The five-year range for quarterly Research & Development is $79,875 (Q3 2023) to $2.9 million (Q4 2023).
- Year-over-year, Research & Development increased in five of the last eight quarters, with growth averaging 94.2%.
- The fastest year-over-year change in Research & Development over five years came in Q4 2023 (growth of 315.0%), and the weakest in Q3 2023 (a decline of 89.8%).
- Business Quant data shows MFON's Research & Development at $748,663 (Q2 2025), $804,448 (Q1 2025) and $2.76 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Mobivity Holdings | 2.96 Mn | -2.31 Mn | 261,851.00 | 739,318.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 739,318.00 |
| Jun 30, 2025 | 748,663.00 |
| Mar 31, 2025 | 804,448.00 |
| Dec 31, 2024 | 2.76 Mn |
| Sep 30, 2024 | 323,752.00 |
| Jun 30, 2024 | 918,374.00 |
| Mar 31, 2024 | 947,135.00 |
| Dec 31, 2023 | 2.90 Mn |
| Sep 30, 2023 | 79,875.00 |
| Jun 30, 2023 | 804,343.00 |
| Mar 31, 2023 | 734,375.00 |
| Dec 31, 2022 | 699,166.00 |
| Sep 30, 2022 | 784,804.00 |
| Jun 30, 2022 | 873,836.00 |
| Mar 31, 2022 | 702,223.00 |
| Dec 31, 2021 | 1.51 Mn |
| Sep 30, 2021 | 678,209.00 |
| Jun 30, 2021 | 674,035.00 |
| Mar 31, 2021 | 723,950.00 |
| Dec 31, 2020 | 715,217.00 |
Mobivity Holdings Research & Development 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=research-and-development&ticker=MFON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MFON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();