Datadog (DDOG) Operating Leases (2019 - 2026)
Datadog (DDOG) recorded Operating Leases of $248.04 million in Q2 2026, up 2.0% from $243.12 million a year earlier but down 4.3% from the prior quarter.
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Analysis
Datadog (DDOG) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Datadog reported Operating Leases of $256.19 million, up 30.1% from FY2024.
- Annual Operating Leases has increased for six straight years, with a five-year compound annual growth rate of 37.9% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $196.91 million in FY2024 (+42.6%), $138.13 million in FY2023 (+80.4%), $76.58 million in FY2022 (+47.0%) and $52.11 million in FY2021 (+1.3%).
- Quarterly Operating Leases has ranged from $51.77 million in Q2 2022 to $260.93 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Leases has increased for 20 consecutive quarters, with growth averaging 27.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Leases ran from 1.3% in Q4 2021 to 142.8% in Q2 2023.
- Per Business Quant, the preceding three quarters came in at $259.16 million (Q1 2026), $256.19 million (Q4 2025) and $260.93 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 | 248.04 Mn |
| Mar 31, 2026 | 259.16 Mn |
| Dec 31, 2025 | 256.19 Mn |
| Sep 30, 2025 | 260.93 Mn |
| Jun 30, 2025 | 243.12 Mn |
| Mar 31, 2025 | 227.97 Mn |
| Dec 31, 2024 | 196.91 Mn |
| Sep 30, 2024 | 197.04 Mn |
| Jun 30, 2024 | 193.84 Mn |
| Mar 31, 2024 | 190.89 Mn |
| Dec 31, 2023 | 138.13 Mn |
| Sep 30, 2023 | 127.80 Mn |
| Jun 30, 2023 | 125.69 Mn |
| Mar 31, 2023 | 86.24 Mn |
| Dec 31, 2022 | 76.58 Mn |
| Sep 30, 2022 | 76.93 Mn |
| Jun 30, 2022 | 51.77 Mn |
| Mar 31, 2022 | 51.82 Mn |
| Dec 31, 2021 | 52.11 Mn |
| Sep 30, 2021 | 53.19 Mn |
API Access
Datadog Operating Leases 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=operating-leases&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();