Datadog (DDOG) Other Non-Current Liabilities (2018 - 2026)
Datadog (DDOG) recorded Other Non-Current Liabilities of $21.09 million in Q2 2026, up 10.2% from $19.13 million a year earlier and up 58.3% from the prior quarter.
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Analysis
Datadog (DDOG) Other Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog reported Other Non-Current Liabilities of $11.89 million, up 26.7% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $9.38 million in FY2024 (+54.0%), $6.09 million in FY2023 (-2.1%), $6.23 million in FY2022 (-33.8%) and $9.41 million in FY2021 (+120.8%).
- The Q2 2026 figure is the highest quarterly Other Non-Current Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Other Non-Current Liabilities has increased for seven consecutive quarters, with growth averaging 72.6% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 206.9% in Q3 2025, against a decline of 33.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.32 million (Q1 2026), $11.89 million (Q4 2025) and $20.3 million (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 21.09 Mn |
| Mar 31, 2026 | 13.32 Mn |
| Dec 31, 2025 | 11.89 Mn |
| Sep 30, 2025 | 20.30 Mn |
| Jun 30, 2025 | 19.13 Mn |
| Mar 31, 2025 | 9.04 Mn |
| Dec 31, 2024 | 9.38 Mn |
| Sep 30, 2024 | 6.62 Mn |
| Jun 30, 2024 | 6.32 Mn |
| Mar 31, 2024 | 6.15 Mn |
| Dec 31, 2023 | 6.09 Mn |
| Sep 30, 2023 | 7.66 Mn |
| Jun 30, 2023 | 7.69 Mn |
| Mar 31, 2023 | 6.25 Mn |
| Dec 31, 2022 | 6.23 Mn |
| Sep 30, 2022 | 9.36 Mn |
| Jun 30, 2022 | 10.03 Mn |
| Mar 31, 2022 | 9.25 Mn |
| Dec 31, 2021 | 9.41 Mn |
| Sep 30, 2021 | 5.46 Mn |
API Access
Datadog Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();