Corning (GLW) Change in Accured Expenses (2009 - 2026)
Corning (GLW) reported Change in Accured Expenses of $275 million for Q2 2026, up 41.8% from $194 million a year earlier.
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Analysis
Corning (GLW) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Corning's Change in Accured Expenses came in at $838 million, up 81.0% year-over-year; for FY2025, it came in at $584 million, up 24.3% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $470 million in FY2024, -$173 million in FY2023, $408 million in FY2022 (-47.2%) and $772 million in FY2021 (+306.3%).
- Five-year quarterly Change in Accured Expenses spans a low of -$369 million in Q1 2023 and a high of $450 million in Q3 2025.
- Year over year, Change in Accured Expenses gained in five of the last six quarters, with growth averaging 87.4%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2025 (growth of 212.9%); the low point was Q4 2023 (a decline of 76.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$80 million (Q1 2026), $193 million (Q4 2025) and $450 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 275.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 43.80 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 110.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 272.00 Mn |
| 10 | International Flavors & Fragrances | 21.04 Bn | 18.74 Bn | 853.00 Mn | 77.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 275.00 Mn |
| Mar 31, 2026 | -80.00 Mn |
| Dec 31, 2025 | 193.00 Mn |
| Sep 30, 2025 | 450.00 Mn |
| Jun 30, 2025 | 194.00 Mn |
| Mar 31, 2025 | -253.00 Mn |
| Dec 31, 2024 | 204.00 Mn |
| Sep 30, 2024 | 318.00 Mn |
| Jun 30, 2024 | 62.00 Mn |
| Mar 31, 2024 | -114.00 Mn |
| Dec 31, 2023 | 91.00 Mn |
| Sep 30, 2023 | 152.00 Mn |
| Jun 30, 2023 | -47.00 Mn |
| Mar 31, 2023 | -369.00 Mn |
| Dec 31, 2022 | 383.00 Mn |
| Sep 30, 2022 | -184.00 Mn |
| Jun 30, 2022 | 132.00 Mn |
| Mar 31, 2022 | 77.00 Mn |
| Dec 31, 2021 | 301.00 Mn |
| Sep 30, 2021 | 300.00 Mn |
API Access
Corning Change in Accured 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=change-in-accured-expenses&ticker=GLW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=GLW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();