Weave Communications (WEAV) Amortizatization of Intangibles (2025 - 2026)
Weave Communications' Amortizatization of Intangibles was $300,000 in Q2 2026, up 50.0% from $200,000 a year earlier but down 12.0% from the prior quarter.
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Analysis
Weave Communications (WEAV) Amortizatization of Intangibles (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Weave Communications' Amortizatization of Intangibles was $1.42 million through Jun 30, 2026, up 611.5% year-over-year; for FY2025, it was $900,000.
- Quarterly Amortizatization of Intangibles has moved between $200,000 (Q2 2025) and $400,000 (Q3 2025) over five years.
- Per Business Quant data, WEAV's Amortizatization of Intangibles in the three quarters before Q2 2026 was $341,000 (Q1 2026), $382,000 (Q4 2025) and $400,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Weave Communications | 588.96 Mn | 379.76 Mn | 48.65 Mn | 300,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 341,000.00 |
| Dec 31, 2025 | 382,000.00 |
| Sep 30, 2025 | 400,000.00 |
| Jun 30, 2025 | 200,000.00 |
API Access
Weave Communications Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=WEAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "WEAV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=WEAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();