Datadog (DDOG) Accumulated Expenses (2018 - 2022)
Datadog (DDOG) posted Accumulated Expenses of $146.3 million for Q3 2022, up 31.06% on a QoQ basis from $111.6 million in Q2 2022, and up 71.76% year-over-year from $85.2 million in Q3 2021.
Analysis
Datadog (DDOG) Accumulated Expenses (2018 - 2022) Analysis & Trends
Datadog has reported Accumulated Expenses for 5 years, with the latest figure at $146.3 million in Q3 2022.
- On a quarterly basis, Accumulated Expenses rose 71.76% year-over-year to $146.3 million in Q3 2022; TTM through Sep 2022 was $146.3 million, a 71.76% increase from a year earlier, with the FY2021 full-year figure at $111.3 million, up 101.05% from the prior year.
- Accumulated Expenses was $146.3 million for Q3 2022 at Datadog, up from $111.6 million in the prior quarter.
- The five-year high for Accumulated Expenses was $146.3 million in Q3 2022, with the low at $30.3 million in Q4 2018.
- Average Accumulated Expenses over 5 years is $73.3 million, with a median of $68.5 million recorded in 2021.
- The sharpest annual moves came in 2019 and 2021: Accumulated Expenses gained 27.92% in 2019, then soared 101.05% in 2021.
- Over 5 years, Accumulated Expenses stood at $30.3 million in 2018, then increased by 27.92% to $38.7 million in 2019, then soared by 42.86% to $55.4 million in 2020, then jumped by 101.05% to $111.3 million in 2021, then surged by 31.46% to $146.3 million in 2022.
- The last three Accumulated Expenses figures came in at $146.3 million (Q3 2022), $111.6 million (Q2 2022), and $108.2 million (Q1 2022), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Datadog | 76.43 Bn | 71.45 Bn | 881.34 Mn |
| 2 | Dynatrace | 15.07 Bn | 13.96 Bn | 451.10 Mn |
| 3 | AvePoint | 2.84 Bn | 2.42 Bn | 91.01 Mn |
| 4 | Netscout Systems | 2.66 Bn | 1.99 Bn | - |
| 5 | PagerDuty | 1.07 Bn | 615.32 Mn | 104.40 Mn |
| 6 | N-able | 768.85 Mn | 653.03 Mn | 106.20 Mn |
| 7 | Radcom | 166.43 Mn | 56.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 146.29 Mn |
| Jun 30, 2022 | 111.62 Mn |
| Mar 31, 2022 | 108.21 Mn |
| Dec 31, 2021 | 111.28 Mn |
| Sep 30, 2021 | 85.17 Mn |
| Jun 30, 2021 | 70.52 Mn |
| Mar 31, 2021 | 68.48 Mn |
| Dec 31, 2020 | 55.35 Mn |
| Sep 30, 2020 | 54.38 Mn |
| Mar 31, 2020 | 41.76 Mn |
| Dec 31, 2019 | 38.75 Mn |
| Sep 30, 2019 | 30.48 Mn |
| Dec 31, 2018 | 30.29 Mn |