Axon Enterprise (AXON) Accumulated Expenses (2010 - 2026)
Axon Enterprise (AXON) reported Accumulated Expenses of $423.93 million for Q2 2026, up 59.5% from $265.83 million a year earlier and up 35.7% from the prior quarter.
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Analysis
Axon Enterprise (AXON) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Axon Enterprise posted Accumulated Expenses of $510.54 million, up 82.9% from FY2024.
- Accumulated Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 53.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $279.19 million in FY2024 (+44.2%), $193.55 million in FY2023 (+24.1%), $155.93 million in FY2022 (+50.4%) and $103.71 million in FY2021 (+73.3%).
- Five-year quarterly Accumulated Expenses spans a low of $69.44 million in Q1 2022 and a high of $510.54 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last 27 quarters, with growth averaging 59.8% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 8.1% (Q1 2024) and 104.5% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $312.43 million (Q1 2026), $510.54 million (Q4 2025) and $293.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 330.54 Bn | 315.61 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.79 Bn | 252.23 Bn | 1.10 Bn |
| 3 | Fortinet | 138.86 Bn | 124.79 Bn | 1.64 Bn |
| 4 | Snowflake | 117.29 Bn | 104.60 Bn | 1.04 Bn |
| 5 | Datadog | 97.40 Bn | 79.04 Bn | 881.34 Mn |
| 6 | Okta | 36.44 Bn | 26.53 Bn | 641.00 Mn |
| 7 | Zscaler | 34.82 Bn | 20.94 Bn | - |
| 8 | Axon Enterprise | 32.98 Bn | 27.51 Bn | 546.45 Mn |
| 9 | MongoDB | 29.24 Bn | 19.71 Bn | 569.77 Mn |
| 10 | Baidu | 29.02 Bn | -44.60 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 423.93 Mn |
| Mar 31, 2026 | 312.43 Mn |
| Dec 31, 2025 | 510.54 Mn |
| Sep 30, 2025 | 293.34 Mn |
| Jun 30, 2025 | 265.83 Mn |
| Mar 31, 2025 | 266.60 Mn |
| Dec 31, 2024 | 279.19 Mn |
| Sep 30, 2024 | 209.69 Mn |
| Jun 30, 2024 | 141.61 Mn |
| Mar 31, 2024 | 130.34 Mn |
| Dec 31, 2023 | 193.55 Mn |
| Sep 30, 2023 | 146.94 Mn |
| Jun 30, 2023 | 118.16 Mn |
| Mar 31, 2023 | 120.61 Mn |
| Dec 31, 2022 | 155.93 Mn |
| Sep 30, 2022 | 112.77 Mn |
| Jun 30, 2022 | 100.98 Mn |
| Mar 31, 2022 | 69.44 Mn |
| Dec 31, 2021 | 103.71 Mn |
| Sep 30, 2021 | 88.89 Mn |
API Access
Axon Enterprise 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=AXON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AXON", "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=AXON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();