Dynatrace (DT) Interest Expenses (2018 - 2023)
Dynatrace (DT) recorded Interest Expenses of -$4.07 million in fiscal Q4 2023 (quarter ended Mar 31, 2023), compared with $2.23 million a year earlier.
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Analysis
Dynatrace (DT) Interest Expenses (2018 - 2023) Analysis & Trends
For FY2023 (ended Mar 31, 2023), Dynatrace reported Interest Expenses of $3.41 million, down 66.6% from FY2022.
- Annual Interest Expenses has declined for four straight fiscal years, with a five-year compound annual growth rate of -37.3% (FY2018 to FY2023).
- Across earlier fiscal years, Interest Expenses came in at $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 is the lowest quarterly Interest Expenses in data going back to fiscal Q1 2019.
- On a year-over-year basis, Interest Expenses rose in 1 of the last seven quarters, with an average decline of 17.4%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 95.4% in fiscal Q3 2023, against a decline of 80.6% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $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) | Int Expense (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 | -89.29 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 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=interest-expenses&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();