Dropbox (DBX) Price to Book (2018 - 2020)
Dropbox's (DBX) Price to Book was 26.97 for Q4 2020, up 191.9% from 9.24 a year earlier and up 187.7% from the prior quarter.
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Analysis
Dropbox (DBX) Price to Book (2018 - 2020) Analysis & Trends
Dating back to Q1 2018, Dropbox's Price to Book record includes 12 quarters.
- By year, Price to Book came in at 9.24 in FY2019 (-25.3%) and 12.36 in FY2018.
- The Q4 2020 figure ranks as the highest quarterly Price to Book in data going back to Q1 2018.
- Year over year, Price to Book gained in 1 of the last eight quarters, with an average decline of 1.4%.
- The high point for year-over-year Price to Book in five years was Q4 2020 (growth of 191.9%); the low point was Q1 2019 (a decline of 49.9%).
- Per Business Quant data, the three quarters before Q4 2020 came in at 9.37 (Q3 2020), 11.21 (Q2 2020) and 9.39 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 26.97 |
| Sep 30, 2020 | 9.37 |
| Jun 30, 2020 | 11.21 |
| Mar 31, 2020 | 9.39 |
| Dec 31, 2019 | 9.24 |
| Sep 30, 2019 | 10.98 |
| Jun 30, 2019 | 14.18 |
| Mar 31, 2019 | 12.72 |
| Dec 31, 2018 | 12.36 |
| Sep 30, 2018 | 16.84 |
| Jun 30, 2018 | 20.62 |
| Mar 31, 2018 | 25.41 |
API Access
Dropbox Price to Book 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=price-to-book&ticker=DBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=DBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();