Smith Micro Software (SMSI) Cost of Revenue (2010 - 2026)
Smith Micro Software (SMSI) reported Cost of Revenue of $811,000 for Q2 2026, down 30.7% from $1.17 million a year earlier and down 11.0% from the prior quarter.
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Analysis
Smith Micro Software (SMSI) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Smith Micro Software's Cost of Revenue came in at $3.8 million, down 23.5% year-over-year; for FY2025, it came in at $4.51 million, down 26.5% from FY2024.
- Cost of Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $6.13 million in FY2024 (-42.0%), $10.56 million in FY2023 (-25.7%), $14.21 million in FY2022 (+11.9%) and $12.7 million in FY2021 (+144.7%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue in data going back to Q2 2010.
- Year over year, Cost of Revenue has now declined in each of the last 16 quarters, with an average decline of 31.3% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q4 2021 (growth of 188.3%); the low point was Q3 2024 (a decline of 47.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $911,000 (Q1 2026), $939,000 (Q4 2025) and $1.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 763.00 Mn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 238.45 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 773.22 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 176.00 Mn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 291.72 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 60.47 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 125.00 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 439.04 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 184.70 Mn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | 811,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 811,000.00 |
| Mar 31, 2026 | 911,000.00 |
| Dec 31, 2025 | 939,000.00 |
| Sep 30, 2025 | 1.14 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.26 Mn |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 1.99 Mn |
| Dec 31, 2023 | 2.16 Mn |
| Sep 30, 2023 | 2.53 Mn |
| Jun 30, 2023 | 2.59 Mn |
| Mar 31, 2023 | 3.28 Mn |
| Dec 31, 2022 | 3.33 Mn |
| Sep 30, 2022 | 3.63 Mn |
| Jun 30, 2022 | 3.62 Mn |
| Mar 31, 2022 | 3.64 Mn |
| Dec 31, 2021 | 4.10 Mn |
| Sep 30, 2021 | 3.69 Mn |
API Access
Smith Micro Software Cost of Revenue 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=cost-of-revenue&ticker=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();