Datadog (DDOG) Amortization of Deferred Charges (2019 - 2026)
Datadog (DDOG) reported Amortization of Deferred Charges of $22.1 million for Q2 2026, up 39.0% from $15.9 million a year earlier and up 8.7% from the prior quarter.
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Analysis
Datadog (DDOG) Amortization of Deferred Charges (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datadog's Amortization of Deferred Charges came in at $78.43 million, up 34.0% year-over-year; for FY2025, it was $66.8 million, up 28.3% from FY2024.
- Amortization of Deferred Charges has increased for seven consecutive years, with a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- By year, Amortization of Deferred Charges came in at $52.05 million in FY2024 (+32.7%), $39.21 million in FY2023 (+40.0%), $28 million in FY2022 (+56.4%) and $17.9 million in FY2021 (+71.3%).
- The Q2 2026 figure ranks as the highest quarterly Amortization of Deferred Charges in data going back to Q4 2019.
- Year over year, Amortization of Deferred Charges has now increased in each of the last 23 quarters, with growth averaging 31.2% over the last eight quarters.
- The year-over-year growth in Amortization of Deferred Charges has ranged between 25.8% (Q1 2025) and 72.9% (Q3 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.33 million (Q1 2026), $18.7 million (Q4 2025) and $17.3 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 | 22.10 Mn |
| Mar 31, 2026 | 20.33 Mn |
| Dec 31, 2025 | 18.70 Mn |
| Sep 30, 2025 | 17.30 Mn |
| Jun 30, 2025 | 15.90 Mn |
| Mar 31, 2025 | 14.90 Mn |
| Dec 31, 2024 | 14.25 Mn |
| Sep 30, 2024 | 13.50 Mn |
| Jun 30, 2024 | 12.50 Mn |
| Mar 31, 2024 | 11.84 Mn |
| Dec 31, 2023 | 10.98 Mn |
| Sep 30, 2023 | 10.20 Mn |
| Jun 30, 2023 | 9.40 Mn |
| Mar 31, 2023 | 8.65 Mn |
| Dec 31, 2022 | 8.06 Mn |
| Sep 30, 2022 | 7.30 Mn |
| Jun 30, 2022 | 6.60 Mn |
| Mar 31, 2022 | 6.02 Mn |
| Dec 31, 2021 | 5.34 Mn |
| Sep 30, 2021 | 4.70 Mn |
API Access
Datadog Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();