AmpliTech (AMPG) Operating Expenses (2011 - 2026)
AmpliTech (AMPG) recorded Operating Expenses of $5.45 million in Q2 2026, up 95.5% from $2.79 million a year earlier and up 30.2% from the prior quarter.
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Analysis
AmpliTech (AMPG) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, AmpliTech's Operating Expenses came in at $17.12 million as of Jun 30, 2026, up 33.3% year-over-year; for FY2025, it was $13.35 million, up 12.0% from FY2024.
- Annual Operating Expenses has increased for ten straight years, with a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $11.92 million in FY2024 (+20.9%), $9.85 million in FY2023 (+12.3%), $8.77 million in FY2022 (+37.1%) and $6.4 million in FY2021 (+194.8%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2011.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 34.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 451.5% in Q4 2021, against a decline of 44.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.19 million (Q1 2026), $4.3 million (Q4 2025) and $3.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | AmpliTech | 80.80 Mn | 36.06 Mn | 2.25 Mn | 5.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.45 Mn |
| Mar 31, 2026 | 4.19 Mn |
| Dec 31, 2025 | 4.30 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 2.79 Mn |
| Mar 31, 2025 | 3.08 Mn |
| Dec 31, 2024 | 4.54 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.63 Mn |
| Mar 31, 2024 | 2.31 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 2.41 Mn |
| Jun 30, 2023 | 2.43 Mn |
| Mar 31, 2023 | 2.44 Mn |
| Dec 31, 2022 | 1.99 Mn |
| Sep 30, 2022 | 2.07 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 2.31 Mn |
| Dec 31, 2021 | 3.60 Mn |
| Sep 30, 2021 | 850,329.00 |
API Access
AmpliTech 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=AMPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMPG", "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=AMPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();