Datadog (DDOG) Selling, General & Administrative (2018 - 2026)
Datadog (DDOG) recorded Selling, General & Administrative of $86.4 million in Q2 2026, up 23.8% from $69.77 million a year earlier and up 15.6% from the prior quarter.
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Analysis
Datadog (DDOG) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a TTM basis, Datadog's Selling, General & Administrative came in at $310.08 million as of Jun 30, 2026, up 27.6% year-over-year; for FY2025, it was $279.7 million, up 36.3% from FY2024.
- Annual Selling, General & Administrative has increased for eight straight years, with a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $205.15 million in FY2024 (+13.9%), $180.19 million in FY2023 (+29.3%), $139.41 million in FY2022 (+47.6%) and $94.43 million in FY2021 (+50.5%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q3 2018.
- On a year-over-year basis, Selling, General & Administrative has increased for 24 consecutive quarters, with growth averaging 29.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Selling, General & Administrative ranged from 2.1% (Q3 2024) to 67.3% (Q3 2022).
- Per Business Quant, the preceding three quarters came in at $74.75 million (Q1 2026), $74.64 million (Q4 2025) and $74.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 290.98 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 74.42 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 98.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 677.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.40 Mn |
| Mar 31, 2026 | 74.75 Mn |
| Dec 31, 2025 | 74.64 Mn |
| Sep 30, 2025 | 74.29 Mn |
| Jun 30, 2025 | 69.77 Mn |
| Mar 31, 2025 | 60.99 Mn |
| Dec 31, 2024 | 59.90 Mn |
| Sep 30, 2024 | 52.41 Mn |
| Jun 30, 2024 | 47.56 Mn |
| Mar 31, 2024 | 45.29 Mn |
| Dec 31, 2023 | 43.85 Mn |
| Sep 30, 2023 | 51.35 Mn |
| Jun 30, 2023 | 42.67 Mn |
| Mar 31, 2023 | 42.32 Mn |
| Dec 31, 2022 | 39.26 Mn |
| Sep 30, 2022 | 39.40 Mn |
| Jun 30, 2022 | 34.38 Mn |
| Mar 31, 2022 | 26.38 Mn |
| Dec 31, 2021 | 28.64 Mn |
| Sep 30, 2021 | 23.55 Mn |
API Access
Datadog Selling, General & Administrative 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=selling-general-and-administrative&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();