Twilio (TWLO) Selling, General & Administrative (2015 - 2026)
Twilio's Selling, General & Administrative was $118.43 million in Q2 2026, up 16.6% from $101.53 million a year earlier and up 15.5% from the prior quarter.
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Analysis
Twilio (TWLO) Selling, General & Administrative (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Twilio's Selling, General & Administrative was $430.7 million through Jun 30, 2026, up 3.6% year-over-year; for FY2022, it came in at $517.41 million, up 9.5% from FY2021.
- Selling, General & Administrative has now increased for eight consecutive years, with a five-year compound annual growth rate of 53.5% (FY2017 to FY2022).
- In earlier years, Selling, General & Administrative was $472.46 million in FY2021 (+52.1%), $310.61 million in FY2020 (+42.3%), $218.27 million in FY2019 (+85.7%) and $117.55 million in FY2018 (+93.4%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q2 2023.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last seven quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 86.7%); the worst was Q1 2025 (a decline of 18.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 168.19 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 118.43 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 179.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 104.72 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 179.22 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 64.32 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 112.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.43 Mn |
| Mar 31, 2026 | 102.55 Mn |
| Sep 30, 2025 | 108.19 Mn |
| Jun 30, 2025 | 101.53 Mn |
| Mar 31, 2025 | 92.08 Mn |
| Dec 31, 2024 | 115.77 Mn |
| Sep 30, 2024 | 106.45 Mn |
| Jun 30, 2024 | 114.27 Mn |
| Mar 31, 2024 | 112.59 Mn |
| Dec 31, 2023 | 106.97 Mn |
| Sep 30, 2023 | 114.07 Mn |
| Jun 30, 2023 | 134.85 Mn |
| Mar 31, 2023 | 112.57 Mn |
| Dec 31, 2022 | 125.10 Mn |
| Sep 30, 2022 | 135.33 Mn |
| Jun 30, 2022 | 142.63 Mn |
| Mar 31, 2022 | 114.36 Mn |
| Dec 31, 2021 | 125.50 Mn |
| Sep 30, 2021 | 122.52 Mn |
| Jun 30, 2021 | 114.18 Mn |
API Access
Twilio Selling, General & Administrative 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=selling-general-and-administrative&ticker=TWLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TWLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();