Axon Enterprise (AXON) Cost of Revenue (2010 - 2026)
Axon Enterprise (AXON) recorded Cost of Revenue of $357.94 million in Q2 2026, up 35.2% from $264.8 million a year earlier and up 8.4% from the prior quarter.
Axon Enterprise (AXON) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Axon Enterprise's Cost of Revenue came in at $1.31 billion as of Jun 30, 2026, up 38.2% year-over-year; for FY2025, it came in at $1.12 billion, up 33.3% from FY2024.
- Annual Cost of Revenue has increased for 16 straight years, with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $841.15 million in FY2024 (+39.0%), $605.25 million in FY2023 (+31.3%), $461.03 million in FY2022 (+44.1%) and $319.92 million in FY2021 (+20.9%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue in data going back to Q2 2010.
- On a year-over-year basis, Cost of Revenue has increased for 18 consecutive quarters, with growth averaging 34.9% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 62.8% in Q4 2022, against a decline of 5.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $330.06 million (Q1 2026), $335.43 million (Q4 2025) and $283.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Baidu | 28.69 Bn | -44.94 Bn | 1.47 Mn | 2.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 357.94 Mn |
| Mar 31, 2026 | 330.06 Mn |
| Dec 31, 2025 | 335.43 Mn |
| Sep 30, 2025 | 283.29 Mn |
| Jun 30, 2025 | 264.80 Mn |
| Mar 31, 2025 | 237.89 Mn |
| Dec 31, 2024 | 229.30 Mn |
| Sep 30, 2024 | 213.53 Mn |
| Jun 30, 2024 | 197.08 Mn |
| Mar 31, 2024 | 201.24 Mn |
| Dec 31, 2023 | 166.38 Mn |
| Sep 30, 2023 | 156.62 Mn |
| Jun 30, 2023 | 142.36 Mn |
| Mar 31, 2023 | 139.88 Mn |
| Dec 31, 2022 | 130.20 Mn |
| Sep 30, 2022 | 118.50 Mn |
| Jun 30, 2022 | 111.65 Mn |
| Mar 31, 2022 | 100.69 Mn |
| Dec 31, 2021 | 79.96 Mn |
| Sep 30, 2021 | 87.42 Mn |
Axon Enterprise Cost of Revenue 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=cost-of-revenue&ticker=AXON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AXON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();