Amplitude (AMPL) Other Operating Expenses (2020 - 2026)
Amplitude's Other Operating Expenses was $51.97 million in Q2 2026, up 10.7% from $46.96 million a year earlier and up 2.3% from the prior quarter.
Amplitude (AMPL) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amplitude's Other Operating Expenses was $199.71 million through Jun 30, 2026, up 14.5% year-over-year; for FY2025, it came in at $97.16 million, down 6.0% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $103.38 million in FY2024 (+4.4%), $99.03 million in FY2023 (+40.8%), $70.31 million in FY2022 (-18.3%) and $86.03 million in FY2021 (+66.0%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q3 2020.
- Compared with a year earlier, Other Operating Expenses has increased for 20 straight quarters, with growth averaging 11.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 4.3% (Q1 2024) to 93.3% (Q3 2021).
- Per Business Quant data, AMPL's Other Operating Expenses in the three quarters before Q2 2026 was $50.8 million (Q1 2026), $48.63 million (Q4 2025) and $48.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Amplitude | 3.46 Bn | 2.75 Bn | 69.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.97 Mn |
| Mar 31, 2026 | 50.80 Mn |
| Dec 31, 2025 | 48.63 Mn |
| Sep 30, 2025 | 48.31 Mn |
| Jun 30, 2025 | 46.96 Mn |
| Mar 31, 2025 | 44.15 Mn |
| Dec 31, 2024 | 42.48 Mn |
| Sep 30, 2024 | 40.86 Mn |
| Jun 30, 2024 | 44.14 Mn |
| Mar 31, 2024 | 40.82 Mn |
| Dec 31, 2023 | 37.78 Mn |
| Sep 30, 2023 | 38.48 Mn |
| Jun 30, 2023 | 38.33 Mn |
| Mar 31, 2023 | 39.13 Mn |
| Dec 31, 2022 | 35.17 Mn |
| Sep 30, 2022 | 32.53 Mn |
| Jun 30, 2022 | 34.14 Mn |
| Mar 31, 2022 | 28.13 Mn |
| Dec 31, 2021 | 27.02 Mn |
| Sep 30, 2021 | 22.20 Mn |
Amplitude Other 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=other-operating-expenses&ticker=AMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=AMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();