Dynatrace (DT) Accounts Payables (2019 - 2026)
Dynatrace (DT) reported Accounts Payables of $7.92 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.9% from $7.99 million a year earlier but up 190.3% from the prior quarter.
Dynatrace (DT) Accounts Payables (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace posted Accounts Payables of $2.73 million, down 90.0% from FY2025.
- Accounts Payables has a five-year compound annual growth rate of -22.3% (FY2021 to FY2026).
- By fiscal year, Accounts Payables came in at $27.29 million in FY2025 (+27.4%), $21.41 million in FY2024 (-2.5%), $21.95 million in FY2023 (-3.4%) and $22.72 million in FY2022 (+136.1%).
- Five-year quarterly Accounts Payables spans a low of $2.73 million in fiscal Q4 2026 and a high of $27.29 million in fiscal Q4 2025.
- Year over year, Accounts Payables gained in five of the last eight quarters, with growth averaging 8.8%.
- The high point for year-over-year Accounts Payables in five years was fiscal Q2 2024 (growth of 245.4%); the low point was fiscal Q4 2026 (a decline of 90.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.73 million (Q4 2026), $11.1 million (Q3 2026) and $21.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 10.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 269.96 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 47.97 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 5.90 Bn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 7.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.92 Mn |
| Mar 31, 2026 | 2.73 Mn |
| Dec 31, 2025 | 11.10 Mn |
| Sep 30, 2025 | 21.62 Mn |
| Jun 30, 2025 | 7.99 Mn |
| Mar 31, 2025 | 27.29 Mn |
| Dec 31, 2024 | 8.55 Mn |
| Sep 30, 2024 | 17.30 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 21.41 Mn |
| Dec 31, 2023 | 13.23 Mn |
| Sep 30, 2023 | 15.84 Mn |
| Jun 30, 2023 | 6.07 Mn |
| Mar 31, 2023 | 21.95 Mn |
| Dec 31, 2022 | 14.69 Mn |
| Sep 30, 2022 | 4.59 Mn |
| Jun 30, 2022 | 4.80 Mn |
| Mar 31, 2022 | 22.72 Mn |
| Dec 31, 2021 | 22.26 Mn |
| Sep 30, 2021 | 16.01 Mn |
Dynatrace Accounts Payables 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=accounts-payables&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();