Datadog (DDOG) Change in Accrued Expenses (2018 - 2026)
Datadog's Change in Accrued Expenses came in at -$3.63 million for Q3 2026, compared with $30.01 million a year earlier.
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Analysis
Datadog (DDOG) Change in Accrued Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Datadog reported Change in Accrued Expenses of $19.95 million, down 45.3% year-over-year; for FY2025, it was $52.89 million.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 67.8% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was -$1.63 million in FY2024, -$40.49 million in FY2023, $37.58 million in FY2022 (+0.8%) and $37.27 million in FY2021 (+838.8%).
- The five-year range for quarterly Change in Accrued Expenses is -$28.08 million (Q1 2023) to $31.66 million (Q3 2022).
- Business Quant data shows DDOG's Change in Accrued Expenses at $6.98 million (Q2 2026), -$3.88 million (Q1 2026) and $20.48 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 1.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3.63 Mn |
| Jun 30, 2026 | 6.98 Mn |
| Mar 31, 2026 | -3.88 Mn |
| Dec 31, 2025 | 20.48 Mn |
| Sep 30, 2025 | 30.01 Mn |
| Jun 30, 2025 | -3.25 Mn |
| Mar 31, 2025 | 5.65 Mn |
| Dec 31, 2024 | 4.08 Mn |
| Sep 30, 2024 | 10.15 Mn |
| Jun 30, 2024 | -8.42 Mn |
| Mar 31, 2024 | -7.43 Mn |
| Dec 31, 2023 | 27.75 Mn |
| Sep 30, 2023 | -24.15 Mn |
| Jun 30, 2023 | -16.01 Mn |
| Mar 31, 2023 | -28.08 Mn |
| Dec 31, 2022 | 10.23 Mn |
| Sep 30, 2022 | 31.66 Mn |
| Jun 30, 2022 | -1.40 Mn |
| Mar 31, 2022 | -2.91 Mn |
| Dec 31, 2021 | 18.04 Mn |
API Access
Datadog Change in Accrued 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=change-in-accured-expenses&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();