Datadog (DDOG) Accumulated Expenses (2018 - 2022)
Datadog's Accumulated Expenses came in at $146.29 million for Q3 2022, up 71.8% from $85.17 million a year earlier and up 31.1% from the prior quarter.
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Analysis
Datadog (DDOG) Accumulated Expenses (2018 - 2022) Analysis & Trends
At the end of FY2021, Datadog's Accumulated Expenses was $111.28 million, up 101.1% from FY2020.
- Accumulated Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 54.3% (FY2018 to FY2021).
- Going back by year, Accumulated Expenses was $55.35 million in FY2020 (+42.9%), $38.75 million in FY2019 (+27.9%) and $30.29 million in FY2018.
- The Q3 2022 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 64.7% over the last seven quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 27.9% (Q4 2019) to 101.1% (Q4 2021).
- Business Quant data shows DDOG's Accumulated Expenses at $111.62 million (Q2 2022), $108.21 million (Q1 2022) and $111.28 million (Q4 2021) in the three quarters before Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 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 |
API Access
Datadog Accumulated Expenses 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=accumulated-expenses&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DDOG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();