Ascent Industries (ACNT) Selling, General & Administrative (2011 - 2026)
Ascent Industries (ACNT) reported Selling, General & Administrative of $5.02 million for Q2 2026, down 17.5% from $6.09 million a year earlier but up 3.0% from the prior quarter.
Ascent Industries (ACNT) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ascent Industries' Selling, General & Administrative came in at $21.54 million, up 7.2% year-over-year; for FY2025, it came in at $22.96 million, up 15.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $19.86 million in FY2024 (-25.7%), $26.71 million in FY2023 (-3.4%), $27.64 million in FY2022 (-8.3%) and $30.14 million in FY2021 (+5.0%).
- Five-year quarterly Selling, General & Administrative spans a low of $2.21 million in Q4 2022 and a high of $9.26 million in Q3 2022.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with an average decline of 2.2%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2023 (growth of 184.9%); the low point was Q4 2022 (a decline of 73.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.87 million (Q1 2026), $5.39 million (Q4 2025) and $6.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 931.00 Mn |
| 10 | Ascent Industries | 125.68 Mn | -65.86 Mn | 5.55 Mn | 5.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.02 Mn |
| Mar 31, 2026 | 4.87 Mn |
| Dec 31, 2025 | 5.39 Mn |
| Sep 30, 2025 | 6.25 Mn |
| Jun 30, 2025 | 6.09 Mn |
| Mar 31, 2025 | 4.64 Mn |
| Dec 31, 2024 | 4.34 Mn |
| Sep 30, 2024 | 5.03 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Mar 31, 2024 | 6.67 Mn |
| Dec 31, 2023 | 6.28 Mn |
| Sep 30, 2023 | 6.69 Mn |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 7.59 Mn |
| Dec 31, 2022 | 2.21 Mn |
| Sep 30, 2022 | 9.26 Mn |
| Jun 30, 2022 | 8.12 Mn |
| Mar 31, 2022 | 8.65 Mn |
| Dec 31, 2021 | 8.20 Mn |
| Sep 30, 2021 | 6.95 Mn |
Ascent Industries 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=ACNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ACNT", "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=ACNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();