Dynatrace (DT) Change in Receivables (2018 - 2026)
Dynatrace (DT) recorded Change in Receivables of -$335.23 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$343.73 million a year earlier.
Powered by 
Analysis
Dynatrace (DT) Change in Receivables (2018 - 2026) Analysis & Trends
On a TTM basis, Dynatrace's Change in Receivables came in at $85.63 million as of Jun 30, 2026, up 139.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $77.13 million, up 221.0% from FY2025.
- Annual Change in Receivables has a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Receivables came in at $24.03 million in FY2025 (-85.2%), $161.89 million in FY2024 (+70.6%), $94.91 million in FY2023 (-12.8%) and $108.85 million in FY2022 (+32.8%).
- Quarterly Change in Receivables has ranged from -$355.44 million in fiscal Q1 2025 to $245.33 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Change in Receivables rose in four of the last six quarters, with growth averaging 18.6%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 108.6% in fiscal Q2 2025, against a decline of 58.1% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $245.16 million (Q4 2026), $152.51 million (Q3 2026) and $23.19 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 83.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 305.83 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | -335.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -335.23 Mn |
| Mar 31, 2026 | 245.16 Mn |
| Dec 31, 2025 | 152.51 Mn |
| Sep 30, 2025 | 23.19 Mn |
| Jun 30, 2025 | -343.73 Mn |
| Mar 31, 2025 | 228.28 Mn |
| Dec 31, 2024 | 95.83 Mn |
| Sep 30, 2024 | 55.36 Mn |
| Jun 30, 2024 | -355.44 Mn |
| Mar 31, 2024 | 245.33 Mn |
| Dec 31, 2023 | 94.25 Mn |
| Sep 30, 2023 | 26.54 Mn |
| Jun 30, 2023 | -204.23 Mn |
| Mar 31, 2023 | 135.22 Mn |
| Dec 31, 2022 | 113.20 Mn |
| Sep 30, 2022 | -2.11 Mn |
| Jun 30, 2022 | -151.40 Mn |
| Mar 31, 2022 | 86.49 Mn |
| Dec 31, 2021 | 114.68 Mn |
| Sep 30, 2021 | 17.77 Mn |
API Access
Dynatrace Change in 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=change-in-receivables&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();