Smith Micro Software (SMSI) Depreciation and Depletion (2022 - 2026)
Smith Micro Software's Depreciation and Depletion was $120,000 in Q2 2026, up 64.4% from $73,000 a year earlier and up 73.9% from the prior quarter.
Powered by 
Analysis
Smith Micro Software (SMSI) Depreciation and Depletion (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smith Micro Software's Depreciation and Depletion was $336,000 through Jun 30, 2026, up 5.7% year-over-year; for FY2025, it came in at $293,000, down 19.7% from FY2024.
- Depreciation and Depletion shows a three-year compound annual growth rate of 40.8% (FY2022 to FY2025).
- In earlier years, Depreciation and Depletion was $365,000 in FY2024 (+630.0%), $50,000 in FY2023 (-52.4%) and $105,000 in FY2022.
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion in data going back to Q1 2022.
- Compared with a year earlier, Depreciation and Depletion was higher in three of the last seven quarters, with growth averaging 195.1%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2024 (growth of 700.0%); the worst was Q1 2024 (a decline of 57.1%).
- Per Business Quant data, SMSI's Depreciation and Depletion in the three quarters before Q2 2026 was $69,000 (Q1 2026), $76,000 (Q4 2025) and $71,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 8.30 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 17.70 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | - |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 6.26 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.00 Mn |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | 120,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120,000.00 |
| Mar 31, 2026 | 69,000.00 |
| Dec 31, 2025 | 76,000.00 |
| Sep 30, 2025 | 71,000.00 |
| Jun 30, 2025 | 73,000.00 |
| Mar 31, 2025 | 74,000.00 |
| Dec 31, 2024 | 80,000.00 |
| Sep 30, 2024 | 91,000.00 |
| Jun 30, 2024 | 95,000.00 |
| Mar 31, 2024 | 6,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Sep 30, 2023 | 12,000.00 |
| Jun 30, 2023 | 13,000.00 |
| Mar 31, 2023 | 14,000.00 |
| Dec 31, 2022 | 20,000.00 |
| Sep 30, 2022 | 25,000.00 |
| Jun 30, 2022 | 27,000.00 |
| Mar 31, 2022 | 32,000.00 |
API Access
Smith Micro Software Depreciation and Depletion 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=depreciation-and-depletion&ticker=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();