Twilio (TWLO) Long-Term Debt Repayments (2019 - 2026)
Twilio (TWLO) reported Long-Term Debt Repayments of $65,000 for Q3 2026, down 93.7% from $1.03 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Twilio (TWLO) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Twilio's Long-Term Debt Repayments came in at $244,000, down 96.8% year-over-year; for FY2025, it was $5.31 million, down 57.7% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $12.56 million in FY2024 (-22.2%), $16.13 million in FY2023 (+20.2%), $13.42 million in FY2022 (+61.8%) and $8.3 million in FY2021 (-23.1%).
- Five-year quarterly Long-Term Debt Repayments spans a low of -$332,000 in Q2 2022 and a high of $7.35 million in Q1 2023.
- Year over year, Long-Term Debt Repayments has now declined in each of the last 12 quarters, with an average decline of 64.8% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2022 (growth of 137.0%); the low point was Q4 2025 (a decline of 97.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $64,000 (Q2 2026), $64,000 (Q1 2026) and $51,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn | - |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn | - |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn | 65,000.00 |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn | - |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn | 35.50 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn | 167.97 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn | 8.96 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65,000.00 |
| Jun 30, 2026 | 64,000.00 |
| Mar 31, 2026 | 64,000.00 |
| Dec 31, 2025 | 51,000.00 |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.98 Mn |
| Mar 31, 2025 | 2.25 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Sep 30, 2024 | 3.15 Mn |
| Jun 30, 2024 | 2.23 Mn |
| Mar 31, 2024 | 4.83 Mn |
| Dec 31, 2023 | 2.37 Mn |
| Sep 30, 2023 | 3.96 Mn |
| Jun 30, 2023 | 2.45 Mn |
| Mar 31, 2023 | 7.35 Mn |
| Dec 31, 2022 | 4.04 Mn |
| Sep 30, 2022 | 3.20 Mn |
| Jun 30, 2022 | -332,000.00 |
| Mar 31, 2022 | 6.52 Mn |
| Dec 31, 2021 | 3.44 Mn |
API Access
Twilio 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=TWLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TWLO", "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=TWLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();