KPIs & Operating Metrics(New)
Balance Sheet
Accounts PayablesAssetsCash & Current InvestmentsCash & EquivalentsCommon EquityConvertible DebtCurrent AssetsCurrent Deferred RevenueCurrent Deferred Tax AssetsCurrent LeasesGoodwillGoodwill & IntangiblesIntangiblesLiabilities and Shareholders EquityNon-Current AssetsNon-Current Deffered RevenueOperating LeasesOther Accumulated ExpensesOther Non-Current AssetsOther Non-Current LiabilitiesPayablesPrepaid AssetsProperty, Plant & Equipment (Net)ReceivablesRetained EarningsShareholder's EquityShares OutstandingShort-term InvestmentsTotal Current LiabilitiesTotal LiabilitiesTotal Non-Current LiabilitiesTreasury Shares
Cash Flow Statement
Daily Values
Growth Metrics
Income Statement
Others
Ratios

Datadog (DDOG) Accumulated Expenses (2018 - 2022)

Datadog has reported Accumulated Expenses over the past 5 years, most recently at $146.3 million for Q3 2022.

  • Quarterly results put Accumulated Expenses at $146.3 million for Q3 2022, up 71.76% from a year ago — trailing twelve months through Sep 2022 was $146.3 million (up 71.76% YoY), and the annual figure for FY2021 was $111.3 million, up 101.05%.
  • Accumulated Expenses for Q3 2022 was $146.3 million at Datadog, up from $111.6 million in the prior quarter.
  • Over the last five years, Accumulated Expenses for DDOG hit a ceiling of $146.3 million in Q3 2022 and a floor of $6.9 million in Q4 2018.
  • Median Accumulated Expenses over the past 5 years was $68.5 million (2021), compared with a mean of $71.5 million.
  • Biggest five-year swings in Accumulated Expenses: soared 458.3% in 2019 and later soared 42.86% in 2020.
  • Datadog's Accumulated Expenses stood at $6.9 million in 2018, then soared by 458.3% to $38.7 million in 2019, then soared by 42.86% to $55.4 million in 2020, then skyrocketed by 101.05% to $111.3 million in 2021, then surged by 31.46% to $146.3 million in 2022.
  • The last three reported values for Accumulated Expenses were $146.3 million (Q3 2022), $111.6 million (Q2 2022), and $108.2 million (Q1 2022) per Business Quant data.