Workiva (WK) Price to Book (2014 - 2023)
Workiva's Price to Book was 34663.47 in Q2 2023, compared with 438.92 a year earlier and up 491.3% from the prior quarter.
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Analysis
Workiva (WK) Price to Book (2014 - 2023) Analysis & Trends
For FY2022, Price to Book at Workiva came in at 738.96, up 703.4% from FY2021.
- Price to Book has now increased for three consecutive years.
- In earlier years, Price to Book was 91.98 in FY2021 (+32.3%), 69.54 in FY2020 (+92.2%) and 36.18 in FY2019.
- The Q2 2023 figure marks the highest quarterly Price to Book in data going back to Q4 2014.
- The best year-over-year quarter for Price to Book over five years was Q4 2022 (growth of 703.4%); the worst was Q1 2020 (a decline of 95.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Workiva | 3.60 Bn | 172.73 Mn | 205.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 34,663.47 |
| Mar 31, 2023 | 5,861.82 |
| Dec 31, 2022 | 738.96 |
| Jun 30, 2022 | 438.92 |
| Mar 31, 2022 | 243.70 |
| Dec 31, 2021 | 91.98 |
| Sep 30, 2021 | 102.05 |
| Jun 30, 2021 | 77.79 |
| Mar 31, 2021 | 63.17 |
| Dec 31, 2020 | 69.54 |
| Sep 30, 2020 | 39.00 |
| Jun 30, 2020 | 42.18 |
| Mar 31, 2020 | 25.87 |
| Dec 31, 2019 | 36.18 |
| Sep 30, 2019 | 29.01 |
| Jun 30, 2019 | 276.96 |
| Mar 31, 2019 | 593.27 |
| Sep 30, 2016 | 1,726.71 |
| Jun 30, 2016 | 62.86 |
| Mar 31, 2016 | 28.46 |
API Access
Workiva 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=WK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "WK", "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=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();