Weave Communications (WEAV) Operating Expenses (2020 - 2026)
Weave Communications' Operating Expenses was $53.04 million in Q2 2026, up 1.7% from $52.14 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Weave Communications (WEAV) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Weave Communications' Operating Expenses was $208.12 million through Jun 30, 2026, up 8.3% year-over-year; for FY2025, it was $202.92 million, up 14.5% from FY2024.
- Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $177.3 million in FY2024 (+17.8%), $150.46 million in FY2023 (+8.6%), $138.55 million in FY2022 (+18.5%) and $116.89 million in FY2021 (+37.5%).
- Quarterly Operating Expenses has moved between $31.34 million (Q3 2021) and $53.56 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 20 straight quarters, with growth averaging 12.9% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 1.7% (Q2 2026) and 40.4% (Q3 2021) over the last five years.
- Per Business Quant data, WEAV's Operating Expenses in the three quarters before Q2 2026 was $53.56 million (Q1 2026), $48.23 million (Q4 2025) and $53.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Weave Communications | 589.76 Mn | 380.56 Mn | 48.65 Mn | 53.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.04 Mn |
| Mar 31, 2026 | 53.56 Mn |
| Dec 31, 2025 | 48.23 Mn |
| Sep 30, 2025 | 53.29 Mn |
| Jun 30, 2025 | 52.14 Mn |
| Mar 31, 2025 | 49.27 Mn |
| Dec 31, 2024 | 46.42 Mn |
| Sep 30, 2024 | 44.36 Mn |
| Jun 30, 2024 | 45.38 Mn |
| Mar 31, 2024 | 41.14 Mn |
| Dec 31, 2023 | 39.57 Mn |
| Sep 30, 2023 | 37.96 Mn |
| Jun 30, 2023 | 37.87 Mn |
| Mar 31, 2023 | 35.05 Mn |
| Dec 31, 2022 | 34.68 Mn |
| Sep 30, 2022 | 35.07 Mn |
| Jun 30, 2022 | 35.77 Mn |
| Mar 31, 2022 | 33.03 Mn |
| Dec 31, 2021 | 31.81 Mn |
| Sep 30, 2021 | 31.34 Mn |
API Access
Weave Communications Operating Expenses 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=operating-expenses&ticker=WEAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WEAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();