Guerrilla RF (GUER) Return on Capital Employed [ROCE] (2021 - 2026)
Guerrilla RF (GUER) reported Return on Capital Employed [ROCE] of 7.38% for Q2 2026, up 76.27 percentage points from -68.89% a year earlier and up 20.09 percentage points from the prior quarter.
Guerrilla RF (GUER) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Guerrilla RF posted Return on Capital Employed [ROCE] of -32.36%, up 23.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a four-year change of +28.90 percentage points (FY2021 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -55.58% in FY2024 (+2531.15 pp), -2586.73% in FY2023 (-2428.87 pp), -157.87% in FY2022 (-96.60 pp) and -61.27% in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2021.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +112.98 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2024 (a gain of 599.60 percentage points); the low point was Q4 2023 (a drop of 511.18 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -12.71% (Q1 2026), -38.74% (Q4 2025) and -53.26% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | Guerrilla RF | 44.93 Mn | 28.93 Mn | 5.68 Mn | 7.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.38% |
| Mar 31, 2026 | -12.71% |
| Dec 31, 2025 | -38.74% |
| Sep 30, 2025 | -53.26% |
| Jun 30, 2025 | -68.89% |
| Mar 31, 2025 | -61.06% |
| Dec 31, 2024 | -43.08% |
| Sep 30, 2024 | -64.92% |
| Jun 30, 2024 | -60.00% |
| Mar 31, 2024 | -88.47% |
| Dec 31, 2023 | -642.68% |
| Sep 30, 2023 | -210.03% |
| Jun 30, 2023 | -90.74% |
| Mar 31, 2023 | -93.82% |
| Dec 31, 2022 | -131.50% |
| Sep 30, 2022 | -114.27% |
| Jun 30, 2022 | -94.49% |
| Mar 31, 2022 | -56.40% |
| Dec 31, 2021 | -91.49% |
Guerrilla RF Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=GUER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=GUER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();