Dynatrace (DT) Price to Book (2019 - 2026)
Dynatrace's (DT) Price to Book came in at 5.20 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 15.7% from 6.17 a year earlier but up 24.7% from the prior quarter.
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Analysis
Dynatrace (DT) Price to Book (2019 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Dynatrace's Price to Book stood at 4.17, down 22.6% from FY2025.
- Annual Price to Book has declined for five consecutive fiscal years.
- In prior fiscal years, Dynatrace's Price to Book was 5.39 in FY2025 (-21.2%), 6.84 in FY2024 (-10.6%), 7.65 in FY2023 (-25.9%) and 10.33 in FY2022 (-15.8%).
- Quarterly Price to Book has run from a low of 4.17 in fiscal Q4 2026 to a high of 16.57 in fiscal Q2 2022 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last ten quarters, with an average decline of 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q2 2022, with growth of 47.1%; the weakest was fiscal Q2 2023, with a decline of 56.9%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 4.17 (Q4 2026), 4.72 (Q3 2026) and 5.26 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Dynatrace | 17.20 Bn | 12.41 Bn | 451.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.20 |
| Mar 31, 2026 | 4.17 |
| Dec 31, 2025 | 4.72 |
| Sep 30, 2025 | 5.26 |
| Jun 30, 2025 | 6.17 |
| Mar 31, 2025 | 5.39 |
| Dec 31, 2024 | 6.37 |
| Sep 30, 2024 | 7.45 |
| Jun 30, 2024 | 6.45 |
| Mar 31, 2024 | 6.84 |
| Dec 31, 2023 | 8.45 |
| Sep 30, 2023 | 7.63 |
| Jun 30, 2023 | 8.85 |
| Mar 31, 2023 | 7.65 |
| Dec 31, 2022 | 7.54 |
| Sep 30, 2022 | 7.15 |
| Jun 30, 2022 | 8.42 |
| Mar 31, 2022 | 10.33 |
| Dec 31, 2021 | 13.51 |
| Sep 30, 2021 | 16.57 |
API Access
Dynatrace 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=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DT", "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=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();