Datadog (DDOG) Convertible Debt (2020 - 2026)
Datadog's Convertible Debt came in at $985.55 million for Q2 2026, up 0.4% from $981.36 million a year earlier and up 0.1% from the prior quarter.
Analysis
Datadog (DDOG) Convertible Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Convertible Debt was $983.45 million, up 0.4% from FY2024.
- Convertible Debt has increased in each of the last five years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Going back by year, Convertible Debt was $979.28 million in FY2024 (+31.9%), $742.24 million in FY2023 (+0.5%), $738.85 million in FY2022 (+0.5%) and $735.48 million in FY2021 (+27.7%).
- The Q2 2026 figure represents the highest quarterly Convertible Debt in data going back to Q3 2020.
- Year-over-year, Convertible Debt has increased for three consecutive quarters, with growth averaging 13.0% over the last five quarters.
- Over the past five years, the year-over-year growth in Convertible Debt ranged from 0.4% (Q4 2025) to 31.9% (Q4 2024).
- Business Quant data shows DDOG's Convertible Debt at $984.5 million (Q1 2026), $983.45 million (Q4 2025) and $982.4 million (Q3 2025) in the three quarters before Q2 2026.
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 | 985.55 Mn |
| Mar 31, 2026 | 984.50 Mn |
| Dec 31, 2025 | 983.45 Mn |
| Sep 30, 2025 | 982.40 Mn |
| Jun 30, 2025 | 981.36 Mn |
| Mar 31, 2025 | 980.31 Mn |
| Dec 31, 2024 | 979.28 Mn |
| Mar 31, 2024 | 743.09 Mn |
| Dec 31, 2023 | 742.24 Mn |
| Sep 30, 2023 | 741.39 Mn |
| Jun 30, 2023 | 740.54 Mn |
| Mar 31, 2023 | 739.69 Mn |
| Dec 31, 2022 | 738.85 Mn |
| Sep 30, 2022 | 738.00 Mn |
| Jun 30, 2022 | 737.16 Mn |
| Mar 31, 2022 | 736.32 Mn |
| Dec 31, 2021 | 735.48 Mn |
| Sep 30, 2021 | 734.64 Mn |
| Jun 30, 2021 | 733.81 Mn |
| Mar 31, 2021 | 732.97 Mn |
API Access
Datadog Convertible Debt 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=convertible-debt&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();