Ati (ATI) Accumulated Expenses (2009 - 2026)
Ati (ATI) posted Accumulated Expenses of $273 million for Q3 2026, up 24.8% from $218.7 million a year earlier and up 30.7% from the prior quarter.
Analysis
Ati (ATI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Ati's Accumulated Expenses came in at $240.5 million, down 3.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Ati's Accumulated Expenses was $249.6 million in FY2024 (-2.8%), $256.8 million in FY2023 (+16.8%), $219.8 million in FY2022 (-5.8%) and $233.4 million in FY2021 (+0.1%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses since Q4 2017.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2026, with growth of 24.8%; the weakest was Q2 2025, with a decline of 22.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $208.9 million (Q2 2026), $189.1 million (Q1 2026) and $240.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn |
| 10 | Dow | 22.78 Bn | 6.74 Bn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 273.00 Mn |
| Jun 28, 2026 | 208.90 Mn |
| Mar 29, 2026 | 189.10 Mn |
| Dec 28, 2025 | 240.50 Mn |
| Sep 28, 2025 | 218.70 Mn |
| Jun 29, 2025 | 189.30 Mn |
| Mar 30, 2025 | 207.00 Mn |
| Dec 29, 2024 | 249.60 Mn |
| Sep 29, 2024 | 242.40 Mn |
| Jun 30, 2024 | 243.40 Mn |
| Mar 31, 2024 | 225.80 Mn |
| Dec 31, 2023 | 256.80 Mn |
| Sep 30, 2023 | 246.60 Mn |
| Jun 30, 2023 | 218.10 Mn |
| Mar 31, 2023 | 201.90 Mn |
| Sep 30, 2022 | 263.00 Mn |
| Jun 30, 2022 | 219.70 Mn |
| Mar 31, 2022 | 213.50 Mn |
| Dec 31, 2021 | 233.40 Mn |
| Sep 30, 2021 | 223.00 Mn |
API Access
Ati Accumulated 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=accumulated-expenses&ticker=ATI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ATI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ATI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();