Amplitude (AMPL) Operating Expenses (2020 - 2026)
Amplitude's Operating Expenses was $104.28 million in Q2 2026, up 19.1% from $87.55 million a year earlier and up 12.8% from the prior quarter.
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Analysis
Amplitude (AMPL) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amplitude's Operating Expenses was $375.13 million through Jun 30, 2026, up 9.7% year-over-year; for FY2025, it came in at $349.93 million, up 6.1% from FY2024.
- Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $329.73 million in FY2024 (+7.4%), $306.88 million in FY2023 (+16.2%), $264.19 million in FY2022 (+39.3%) and $189.65 million in FY2021 (+97.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2020.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 10.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 225.3%); the worst was Q4 2025 (a decline of 7.0%).
- Per Business Quant data, AMPL's Operating Expenses in the three quarters before Q2 2026 was $92.42 million (Q1 2026), $87.29 million (Q4 2025) and $91.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Amplitude | 3.32 Bn | 2.62 Bn | 69.10 Mn | 104.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.28 Mn |
| Mar 31, 2026 | 92.42 Mn |
| Dec 31, 2025 | 87.29 Mn |
| Sep 30, 2025 | 91.14 Mn |
| Jun 30, 2025 | 87.55 Mn |
| Mar 31, 2025 | 83.95 Mn |
| Dec 31, 2024 | 93.83 Mn |
| Sep 30, 2024 | 76.49 Mn |
| Jun 30, 2024 | 80.98 Mn |
| Mar 31, 2024 | 78.44 Mn |
| Dec 31, 2023 | 74.68 Mn |
| Sep 30, 2023 | 74.27 Mn |
| Jun 30, 2023 | 81.47 Mn |
| Mar 31, 2023 | 76.46 Mn |
| Dec 31, 2022 | 71.81 Mn |
| Sep 30, 2022 | 67.73 Mn |
| Jun 30, 2022 | 65.65 Mn |
| Mar 31, 2022 | 58.99 Mn |
| Dec 31, 2021 | 55.52 Mn |
| Sep 30, 2021 | 68.26 Mn |
API Access
Amplitude Operating Expenses 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-expenses&ticker=AMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMPL", "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-expenses&ticker=AMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();