Smith Micro Software (SMSI) Enterprise Value (2010 - 2026)
Smith Micro Software (SMSI) recorded Enterprise Value of $12.19 million in Q2 2026, down 20.2% from $15.27 million a year earlier and down 27.0% from the prior quarter.
Smith Micro Software (SMSI) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Smith Micro Software's Enterprise Value came in at $7.56 million as of Jun 30, 2026, down 12.8% year-over-year; for FY2025, it came in at $9.63 million, down 28.1% from FY2024.
- Annual Enterprise Value has declined for four straight years, with a five-year compound annual growth rate of -45.4% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $13.39 million in FY2024 (-75.6%), $54.95 million in FY2023 (-47.2%), $103.99 million in FY2022 (-58.5%) and $250.88 million in FY2021 (+26.9%).
- Quarterly Enterprise Value has ranged from $9.63 million in Q4 2025 to $250.88 million in Q4 2021 over the past five years.
- On a year-over-year basis, Enterprise Value rose in two of the last eight quarters, with an average decline of 24.0%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 80.8% in Q3 2021, against a decline of 86.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.7 million (Q1 2026), $9.63 million (Q4 2025) and $14.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.19 Mn |
| Mar 31, 2026 | 16.70 Mn |
| Dec 31, 2025 | 9.63 Mn |
| Sep 30, 2025 | 14.07 Mn |
| Jun 30, 2025 | 15.27 Mn |
| Mar 31, 2025 | 11.92 Mn |
| Dec 31, 2024 | 13.39 Mn |
| Sep 30, 2024 | 10.59 Mn |
| Jun 30, 2024 | 17.85 Mn |
| Mar 31, 2024 | 19.96 Mn |
| Dec 31, 2023 | 54.95 Mn |
| Sep 30, 2023 | 77.18 Mn |
| Jun 30, 2023 | 65.96 Mn |
| Mar 31, 2023 | 61.57 Mn |
| Dec 31, 2022 | 103.99 Mn |
| Sep 30, 2022 | 108.15 Mn |
| Jun 30, 2022 | 130.79 Mn |
| Mar 31, 2022 | 198.11 Mn |
| Dec 31, 2021 | 250.88 Mn |
| Sep 30, 2021 | 231.77 Mn |
Smith Micro Software Enterprise Value 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=enterprise-value&ticker=SMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "SMSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();