Corning (GLW) Selling, General & Administrative (2009 - 2026)
Corning's Selling, General & Administrative was $608 million in Q2 2026, up 18.1% from $515 million a year earlier and up 3.4% from the prior quarter.
Corning (GLW) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Corning's Selling, General & Administrative was $2.33 billion through Jun 30, 2026, up 16.9% year-over-year; for FY2025, it came in at $2.12 billion, up 9.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.93 billion in FY2024 (+4.8%), $1.84 billion in FY2023 (-2.9%), $1.9 billion in FY2022 (+3.9%) and $1.83 billion in FY2021 (+4.6%).
- Quarterly Selling, General & Administrative has moved between $421 million (Q1 2023) and $624 million (Q3 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for six straight quarters, with growth averaging 11.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2026 (growth of 24.8%); the worst was Q2 2023 (a decline of 9.5%).
- Per Business Quant data, GLW's Selling, General & Administrative in the three quarters before Q2 2026 was $588 million (Q1 2026), $512 million (Q4 2025) and $624 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 931.00 Mn |
| 10 | International Flavors & Fragrances | 21.04 Bn | 18.74 Bn | 853.00 Mn | 437.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 608.00 Mn |
| Mar 31, 2026 | 588.00 Mn |
| Dec 31, 2025 | 512.00 Mn |
| Sep 30, 2025 | 624.00 Mn |
| Jun 30, 2025 | 515.00 Mn |
| Mar 31, 2025 | 471.00 Mn |
| Dec 31, 2024 | 499.00 Mn |
| Sep 30, 2024 | 510.00 Mn |
| Jun 30, 2024 | 471.00 Mn |
| Mar 31, 2024 | 451.00 Mn |
| Dec 31, 2023 | 514.00 Mn |
| Sep 30, 2023 | 468.00 Mn |
| Jun 30, 2023 | 440.00 Mn |
| Mar 31, 2023 | 421.00 Mn |
| Dec 31, 2022 | 517.00 Mn |
| Sep 30, 2022 | 461.00 Mn |
| Jun 30, 2022 | 486.00 Mn |
| Mar 31, 2022 | 434.00 Mn |
| Dec 31, 2021 | 476.00 Mn |
| Sep 30, 2021 | 486.00 Mn |
Corning 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=GLW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GLW", "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=GLW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();