Dynatrace (DT) Non Operating Interest Expenses (2018 - 2023)
Dynatrace (DT) posted Non Operating Interest Expenses of -$4.07 million for fiscal Q4 2023 (quarter ended Mar 31, 2023), compared with $2.23 million a year earlier.
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Analysis
Dynatrace (DT) Non Operating Interest Expenses (2018 - 2023) Analysis & Trends
For FY2023 (ended Mar 31, 2023), Dynatrace's Non Operating Interest Expenses came in at $3.41 million, down 66.6% from FY2022.
- Annual Non Operating Interest Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -37.3% (FY2018 to FY2023).
- In prior fiscal years, Dynatrace's Non Operating Interest Expenses was $10.19 million in FY2022 (-28.3%), $14.21 million in FY2021 (-68.7%), $45.4 million in FY2020 (-35.0%) and $69.85 million in FY2019 (+98.3%).
- The fiscal Q4 2023 figure stands as the lowest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2019.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last seven quarters, with an average decline of 17.4%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q3 2023, with growth of 95.4%; the weakest was fiscal Q2 2023, with a decline of 80.6%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $4.79 million (Q3 2023), $513,000 (Q2 2023) and $2.18 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -4.07 Mn |
| Dec 31, 2022 | 4.79 Mn |
| Sep 30, 2022 | 513,000.00 |
| Jun 30, 2022 | 2.18 Mn |
| Mar 31, 2022 | 2.23 Mn |
| Dec 31, 2021 | 2.45 Mn |
| Sep 30, 2021 | 2.65 Mn |
| Jun 30, 2021 | 2.86 Mn |
| Mar 31, 2021 | 3.04 Mn |
| Dec 31, 2020 | 3.46 Mn |
| Sep 30, 2020 | 3.60 Mn |
| Jun 30, 2020 | 4.11 Mn |
| Mar 31, 2020 | 5.68 Mn |
| Dec 31, 2019 | 6.00 Mn |
| Sep 30, 2019 | 14.53 Mn |
| Jun 30, 2019 | 19.19 Mn |
| Mar 31, 2019 | 20.60 Mn |
| Dec 31, 2018 | 21.06 Mn |
| Sep 30, 2018 | 17.50 Mn |
| Jun 30, 2018 | 10.69 Mn |
API Access
Dynatrace Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();