Dynatrace (DT) Receivables (2019 - 2026)
Dynatrace's Receivables came in at $379.98 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 30.1% from $292.09 million a year earlier but down 46.5% from the prior quarter.
Powered by 
Analysis
Dynatrace (DT) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace's Receivables was $710.2 million, up 13.7% from FY2025.
- Receivables has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 24.0% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $624.44 million in FY2025 (+3.6%), $602.74 million in FY2024 (+36.2%), $442.52 million in FY2023 (+26.2%) and $350.67 million in FY2022 (+44.9%).
- The five-year range for quarterly Receivables is $149.8 million (fiscal Q2 2022) to $710.2 million (fiscal Q4 2026).
- Year-over-year, Receivables has increased for 26 consecutive quarters, with growth averaging 14.2% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 2.8% (fiscal Q1 2025) and 44.9% (fiscal Q4 2022) over the last five years.
- Business Quant data shows DT's Receivables at $710.2 million (Q4 2026), $468.04 million (Q3 2026) and $315.04 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 379.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 379.98 Mn |
| Mar 31, 2026 | 710.20 Mn |
| Dec 31, 2025 | 468.04 Mn |
| Sep 30, 2025 | 315.04 Mn |
| Jun 30, 2025 | 292.09 Mn |
| Mar 31, 2025 | 624.44 Mn |
| Dec 31, 2024 | 391.58 Mn |
| Sep 30, 2024 | 303.34 Mn |
| Jun 30, 2024 | 245.00 Mn |
| Mar 31, 2024 | 602.74 Mn |
| Dec 31, 2023 | 361.65 Mn |
| Sep 30, 2023 | 262.73 Mn |
| Jun 30, 2023 | 238.28 Mn |
| Mar 31, 2023 | 442.52 Mn |
| Dec 31, 2022 | 304.41 Mn |
| Sep 30, 2022 | 185.73 Mn |
| Jun 30, 2022 | 191.84 Mn |
| Mar 31, 2022 | 350.67 Mn |
| Dec 31, 2021 | 264.29 Mn |
| Sep 30, 2021 | 149.80 Mn |
API Access
Dynatrace Receivables 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=receivables&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();