Twilio (TWLO) Exchange Rate Effect (2017 - 2023)
Twilio (TWLO) reported Exchange Rate Effect of $108,000 for FY2023, up 80.0% from $60,000 in FY2022.
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Analysis
Twilio (TWLO) Exchange Rate Effect (2017 - 2023) Analysis & Trends
Dating back to FY2017, Twilio's Exchange Rate Effect record includes 6 years.
- Exchange Rate Effect has a five-year compound annual growth rate of -7.9% (FY2018 to FY2023).
- The FY2023 figure ranks as the highest annual Exchange Rate Effect since FY2018.
- According to Business Quant data, Exchange Rate Effect came in at $60,000 in FY2022, -$191,000 in FY2021 and $40,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.84 Bn | 68.09 Bn | 6.00 Bn | - |
| 2 | Autodesk | 54.44 Bn | 42.47 Bn | 1.87 Bn | -2.00 Mn |
| 3 | Atlassian | 39.94 Bn | 33.22 Bn | 1.53 Bn | -932,000.00 |
| 4 | Twilio | 33.57 Bn | 23.20 Bn | 760.53 Mn | - |
| 5 | Zoom Communications | 27.01 Bn | -3.72 Bn | 985.50 Mn | -2.45 Mn |
| 6 | Figma | 10.15 Bn | 3.47 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.23 Bn | 2.87 Bn | 506.50 Mn | -1.40 Mn |
| 8 | Open Text | 6.16 Bn | 1.59 Bn | 1.01 Bn | -3.37 Mn |
| 9 | RingCentral | 6.07 Bn | 5.60 Bn | 494.30 Mn | -32,000.00 |
| 10 | Nice | 5.89 Bn | 872.61 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 69,000.00 |
| Mar 31, 2023 | 39,000.00 |
| Dec 31, 2022 | -86,000.00 |
| Sep 30, 2022 | -167,000.00 |
| Jun 30, 2022 | 286,000.00 |
| Mar 31, 2022 | 27,000.00 |
| Dec 31, 2021 | -34,000.00 |
| Sep 30, 2021 | -14,000.00 |
| Jun 30, 2021 | -99,000.00 |
| Mar 31, 2021 | -44,000.00 |
| Dec 31, 2020 | 40,000.00 |
| Dec 31, 2018 | 58,000.00 |
| Sep 30, 2018 | -713,000.00 |
| Jun 30, 2018 | 670,000.00 |
| Mar 31, 2018 | 148,000.00 |
| Dec 31, 2017 | -14,000.00 |
| Sep 30, 2017 | 46,000.00 |
| Jun 30, 2017 | 31,000.00 |
| Mar 31, 2017 | 11,000.00 |
API Access
Twilio Exchange Rate Effect 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=exchange-rate-effect&ticker=TWLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=TWLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();