Nomad Power Solutions (NMAD) Selling, General & Administrative (2010 - 2026)
Nomad Power Solutions (NMAD) recorded Selling, General & Administrative of $2.29 million in Q2 2026, up 220.3% from $714,161 a year earlier.
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Analysis
Nomad Power Solutions (NMAD) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Nomad Power Solutions' Selling, General & Administrative came in at $6.52 million as of Jun 30, 2026, up 157.9% year-over-year; for FY2025, it was $4.85 million, up 70.5% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 44.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $2.85 million in FY2024 (-32.1%), $4.19 million in FY2023 (+64.6%), $2.55 million in FY2022 (-15.8%) and $3.02 million in FY2021 (+295.3%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q4 2023.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last seven quarters, with growth averaging 80.8%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 378.3% in Q4 2023, against a decline of 79.3% in Q4 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Nomad Power Solutions | 63.52 Mn | 64.60 Mn | - | 2.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Mn |
| Dec 31, 2025 | 1.77 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 714,161.00 |
| Mar 31, 2025 | 615,483.00 |
| Dec 31, 2024 | 578,667.00 |
| Sep 30, 2024 | 621,627.00 |
| Jun 30, 2024 | 798,448.00 |
| Mar 31, 2024 | 847,815.00 |
| Dec 31, 2023 | 2.79 Mn |
| Sep 30, 2023 | 356,001.00 |
| Jun 30, 2023 | 522,561.00 |
| Mar 31, 2023 | 519,480.00 |
| Dec 31, 2022 | 584,206.00 |
| Sep 30, 2022 | 643,957.00 |
| Jun 30, 2022 | 753,530.00 |
| Mar 31, 2022 | 565,922.00 |
| Dec 31, 2021 | 573,472.00 |
| Sep 30, 2021 | 573,472.00 |
| Jun 30, 2021 | 1.47 Mn |
API Access
Nomad Power Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=NMAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NMAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NMAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();