Q (QCLS) Selling, General & Administrative (2013 - 2026)
Q's Selling, General & Administrative came in at $1.07 million for Q1 2026, up 26.7% from $841,685 a year earlier and up 3.3% from the prior quarter.
Q (QCLS) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Q reported Selling, General & Administrative of $3.96 million, down 0.4% year-over-year; for FY2025, it came in at $3.74 million, down 10.2% from FY2024.
- Selling, General & Administrative has declined in each of the last four years, though with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $4.16 million in FY2024 (-23.5%), $5.44 million in FY2023 (-1.4%), $5.52 million in FY2022 (-14.0%) and $6.42 million in FY2021 (+117.9%).
- The Q1 2026 figure represents the highest quarterly Selling, General & Administrative since Q3 2024.
- Year-over-year, Selling, General & Administrative increased in two of the last eight quarters, with an average decline of 12.3%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2021 (growth of 217.7%), and the weakest in Q4 2022 (a decline of 49.0%).
- Business Quant data shows QCLS's Selling, General & Administrative at $1.03 million (Q4 2025), $967,833 (Q3 2025) and $894,297 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 859.00 Mn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 1.30 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 1.03 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 162.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 476.00 Mn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 1.03 Mn |
| Sep 30, 2025 | 967,833.00 |
| Jun 30, 2025 | 894,297.00 |
| Mar 31, 2025 | 841,685.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 1.02 Mn |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.88 Mn |
| Mar 31, 2023 | 987,987.00 |
| Dec 31, 2022 | 1.22 Mn |
| Sep 30, 2022 | 1.55 Mn |
| Jun 30, 2022 | 1.35 Mn |
| Mar 31, 2022 | 1.40 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | 1.43 Mn |
| Jun 30, 2021 | 1.54 Mn |
Q 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=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "QCLS", "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=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();