Guerrilla RF (GUER) Operating Expenses (2020 - 2026)
Guerrilla RF (GUER) recorded Operating Expenses of $4.72 million in Q2 2026, down 2.5% from $4.84 million a year earlier but up 3.4% from the prior quarter.
Guerrilla RF (GUER) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Guerrilla RF's Operating Expenses came in at $18.12 million as of Jun 30, 2026, down 17.6% year-over-year; for FY2025, it came in at $19.51 million, down 9.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $21.58 million in FY2024 (+0.2%), $21.53 million in FY2023 (+20.4%), $17.89 million in FY2022 (+82.3%) and $9.81 million in FY2021 (+46.0%).
- Quarterly Operating Expenses has ranged from $2.4 million in Q3 2021 to $5.83 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for five consecutive quarters, with an average decline of 4.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 113.2% in Q2 2022, against a decline of 23.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.56 million (Q1 2026), $4.4 million (Q4 2025) and $4.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Guerrilla RF | 44.93 Mn | 28.93 Mn | 5.68 Mn | 4.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.72 Mn |
| Mar 31, 2026 | 4.56 Mn |
| Dec 31, 2025 | 4.40 Mn |
| Sep 30, 2025 | 4.44 Mn |
| Jun 30, 2025 | 4.84 Mn |
| Mar 31, 2025 | 5.83 Mn |
| Dec 31, 2024 | 5.77 Mn |
| Sep 30, 2024 | 5.56 Mn |
| Jun 30, 2024 | 5.19 Mn |
| Mar 31, 2024 | 5.06 Mn |
| Dec 31, 2023 | 4.77 Mn |
| Sep 30, 2023 | 5.60 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 5.49 Mn |
| Dec 31, 2022 | 4.69 Mn |
| Sep 30, 2022 | 4.61 Mn |
| Jun 30, 2022 | 4.45 Mn |
| Mar 31, 2022 | 4.13 Mn |
| Dec 31, 2021 | 3.38 Mn |
| Sep 30, 2021 | 2.40 Mn |
Guerrilla RF 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=GUER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GUER", "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=GUER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();