Amplitude (AMPL) Accumulated Expenses (2020 - 2026)
Amplitude (AMPL) recorded Accumulated Expenses of $46.12 million in Q2 2026, up 40.2% from $32.89 million a year earlier and up 23.8% from the prior quarter.
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Analysis
Amplitude (AMPL) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Amplitude reported Accumulated Expenses of $37.12 million, up 9.7% from FY2024.
- Annual Accumulated Expenses has increased for five straight years, with a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $33.85 million in FY2024 (+27.0%), $26.66 million in FY2023 (+42.6%), $18.7 million in FY2022 (+4.3%) and $17.94 million in FY2021 (+121.2%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 20.1% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 121.2% in Q4 2021, against a decline of 13.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $37.25 million (Q1 2026), $37.12 million (Q4 2025) and $33.73 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.12 Mn |
| Mar 31, 2026 | 37.25 Mn |
| Dec 31, 2025 | 37.12 Mn |
| Sep 30, 2025 | 33.73 Mn |
| Jun 30, 2025 | 32.89 Mn |
| Mar 31, 2025 | 31.91 Mn |
| Dec 31, 2024 | 33.85 Mn |
| Sep 30, 2024 | 34.79 Mn |
| Jun 30, 2024 | 27.18 Mn |
| Mar 31, 2024 | 26.23 Mn |
| Dec 31, 2023 | 26.66 Mn |
| Sep 30, 2023 | 27.23 Mn |
| Jun 30, 2023 | 23.69 Mn |
| Mar 31, 2023 | 19.63 Mn |
| Dec 31, 2022 | 18.70 Mn |
| Sep 30, 2022 | 25.57 Mn |
| Jun 30, 2022 | 19.03 Mn |
| Mar 31, 2022 | 22.70 Mn |
| Dec 31, 2021 | 17.94 Mn |
| Sep 30, 2021 | 24.84 Mn |
API Access
Amplitude Accumulated 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=accumulated-expenses&ticker=AMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();