Twilio (TWLO) Depreciation and Depletion (2015 - 2026)
Twilio's Depreciation and Depletion came in at $17.7 million for Q2 2026, down 20.6% from $22.3 million a year earlier but up 4.1% from the prior quarter.
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Analysis
Twilio (TWLO) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Twilio reported Depreciation and Depletion of $75.7 million, down 14.8% year-over-year; for FY2025, it was $85.1 million, down 7.4% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $91.9 million in FY2024 (+2.2%), $89.9 million in FY2023 (+25.4%), $71.7 million in FY2022 (+20.3%) and $59.6 million in FY2021 (+16.6%).
- The five-year range for quarterly Depreciation and Depletion is $14.5 million (Q3 2021) to $24.3 million (Q2 2023).
- Year-over-year, Depreciation and Depletion has declined for nine consecutive quarters, with an average decline of 9.5% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q2 2023 (growth of 39.7%), and the weakest in Q1 2026 (a decline of 22.4%).
- Business Quant data shows TWLO's Depreciation and Depletion at $17 million (Q1 2026), $19.9 million (Q4 2025) and $21.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | - |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | - |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 8.30 Mn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 18.40 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | - |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | - |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 23.30 Mn |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.40 Mn |
| Jun 30, 2026 | 17.70 Mn |
| Mar 31, 2026 | 17.00 Mn |
| Dec 31, 2025 | 19.90 Mn |
| Sep 30, 2025 | 21.10 Mn |
| Jun 30, 2025 | 22.30 Mn |
| Mar 31, 2025 | 21.90 Mn |
| Dec 31, 2024 | 21.90 Mn |
| Sep 30, 2024 | 22.80 Mn |
| Jun 30, 2024 | 23.30 Mn |
| Mar 31, 2024 | 23.80 Mn |
| Dec 31, 2023 | 22.40 Mn |
| Sep 30, 2023 | 23.20 Mn |
| Jun 30, 2023 | 24.30 Mn |
| Mar 31, 2023 | 20.10 Mn |
| Dec 31, 2022 | 19.20 Mn |
| Sep 30, 2022 | 18.40 Mn |
| Jun 30, 2022 | 17.40 Mn |
| Mar 31, 2022 | 16.60 Mn |
| Dec 31, 2021 | 16.40 Mn |
API Access
Twilio 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=TWLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TWLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();