Datadog (DDOG) Change in Accured Expenses (2018 - 2026)
Datadog (DDOG) posted quarterly Change in Accured Expenses of -$3.9 million for Q1 2026, down 168.64% year-over-year from $5.6 million in Q1 2025, and down 118.93% quarter-over-quarter from $20.5 million in Q4 2025.
Datadog (DDOG) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Datadog's Change in Accured Expenses history runs 9 years deep, the most recent figure standing at -$3.9 million for Q1 2026.
- In Q1 2026, Change in Accured Expenses fell 168.64% year-over-year to -$3.9 million; the TTM figure through Mar 2026 stood at $43.4 million (up 278.56% YoY), while the FY2025 annual figure was $52.9 million, up 3352.71% from the prior year.
- Change in Accured Expenses for Q1 2026 stood at -$3.9 million, down from $20.5 million in the prior quarter.
- The five-year high for Change in Accured Expenses was $31.7 million in Q3 2022, with the low at -$28.1 million in Q1 2023.
- The 5-year median for Change in Accured Expenses is -$1.4 million (2022), against an average of $2.6 million.
- The sharpest annual moves came in 2023 and 2025: Change in Accured Expenses sank 1044.32% in 2023, then soared 401.62% in 2025.
- Datadog's Change in Accured Expenses stood at $10.2 million in 2022, then jumped by 171.34% to $27.8 million in 2023, then tumbled by 85.29% to $4.1 million in 2024, then jumped by 401.62% to $20.5 million in 2025, then tumbled by 118.93% to -$3.9 million in 2026.
- Business Quant data shows DDOG's Change in Accured Expenses at -$3.9 million in Q1 2026, $20.5 million in Q4 2025, and $30.0 million in Q3 2025.
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Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Sap Se | 255.48 Bn | 234.41 Bn | 16.51 Bn | -1.46 Bn |
| 2 | Shopify | 198.95 Bn | 194.00 Bn | 1.71 Bn | - |
| 3 | Salesforce | 160.70 Bn | 148.86 Bn | 8.56 Bn | -1.90 Bn |
| 4 | Uber Technologies | 154.94 Bn | 149.73 Bn | 6.38 Bn | 447.00 Mn |
| 5 | ServiceNow | 128.25 Bn | 123.58 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Snowflake | 114.00 Bn | 111.05 Bn | 926.45 Mn | -80.79 Mn |
| 7 | Automatic Data Processing | 108.58 Bn | 104.35 Bn | 2.51 Bn | 200.00 Mn |
| 8 | Adobe | 105.34 Bn | 99.72 Bn | 5.90 Bn | 235.00 Mn |
| 9 | Intuit | 94.55 Bn | 87.77 Bn | 7.24 Bn | -236.00 Mn |
| 10 | Datadog | 91.70 Bn | 86.71 Bn | 881.34 Mn | 6.98 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Jun 30, 2026 | 6.98 Mn |
| Jun 30, 2026 | 6.98 Mn |
| Mar 31, 2026 | -3.88 Mn |
| Mar 31, 2026 | -3.88 Mn |
| Dec 31, 2025 | 20.48 Mn |
| Dec 31, 2025 | 20.48 Mn |
| Sep 30, 2025 | 30.01 Mn |
| Sep 30, 2025 | 30.01 Mn |
| Jun 30, 2025 | -3.25 Mn |
| Jun 30, 2025 | -3.25 Mn |
| Mar 31, 2025 | 5.65 Mn |
| Mar 31, 2025 | 5.65 Mn |
| Dec 31, 2024 | 4.08 Mn |
| Dec 31, 2024 | 4.08 Mn |
| Sep 30, 2024 | 10.15 Mn |
| Sep 30, 2024 | 10.15 Mn |
| Jun 30, 2024 | -8.42 Mn |
| Jun 30, 2024 | -8.42 Mn |
| Mar 31, 2024 | -7.43 Mn |
| Mar 31, 2024 | -7.43 Mn |