Weave Communications (WEAV) Long-Term Debt Repayments (2020 - 2026)
Weave Communications (WEAV) posted Long-Term Debt Repayments of $1.87 million for Q2 2026, up 3.0% from $1.81 million a year earlier and up 4.2% from the prior quarter.
Weave Communications (WEAV) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Weave Communications was $7.24 million, up 1.9% year-over-year; for FY2025, it was $7.17 million, up 1.5% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Weave Communications' Long-Term Debt Repayments was $7.06 million in FY2024 (-6.2%), $7.53 million in FY2023 (-13.5%), $8.71 million in FY2022 (+10.8%) and $7.86 million in FY2021 (+31.0%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2023.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2022, with growth of 19.8%; the weakest was Q2 2023, with a decline of 19.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.79 million (Q1 2026), $1.75 million (Q4 2025) and $1.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | - |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | - |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | - |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Weave Communications | 588.88 Mn | 379.68 Mn | 48.65 Mn | 1.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87 Mn |
| Mar 31, 2026 | 1.79 Mn |
| Dec 31, 2025 | 1.75 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 1.78 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.76 Mn |
| Mar 31, 2024 | 1.79 Mn |
| Dec 31, 2023 | 1.86 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Mar 31, 2023 | 1.96 Mn |
| Dec 31, 2022 | 2.02 Mn |
| Sep 30, 2022 | 2.23 Mn |
| Jun 30, 2022 | 2.28 Mn |
| Mar 31, 2022 | 2.18 Mn |
| Dec 31, 2021 | 2.04 Mn |
| Sep 30, 2021 | 2.08 Mn |
Weave Communications Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WEAV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WEAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();