Ati (ATI) Operating Expenses (2009 - 2026)
Ati (ATI) recorded Operating Expenses of $99.6 million in Q2 2026, up 22.2% from $81.5 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Ati (ATI) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Ati's Operating Expenses came in at $395.4 million as of Jun 28, 2026, up 15.0% year-over-year; for FY2025, it came in at $363.2 million, up 4.8% from FY2024.
- Annual Operating Expenses has increased for four straight years, though with a five-year compound annual growth rate of -22.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $346.4 million in FY2024 (+3.2%), $335.8 million in FY2023 (+14.7%), $292.7 million in FY2022 (+35.8%) and $215.6 million in FY2021 (-83.5%).
- Quarterly Operating Expenses has ranged from $52.6 million in Q3 2021 to $102.5 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 37.2% in Q1 2022, against a decline of 6.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $99.1 million (Q1 2026), $102.5 million (Q4 2025) and $94.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 1.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 99.60 Mn |
| Mar 29, 2026 | 99.10 Mn |
| Dec 28, 2025 | 102.50 Mn |
| Sep 28, 2025 | 94.20 Mn |
| Jun 29, 2025 | 81.50 Mn |
| Mar 30, 2025 | 85.00 Mn |
| Dec 29, 2024 | 94.30 Mn |
| Sep 29, 2024 | 82.90 Mn |
| Jun 30, 2024 | 87.00 Mn |
| Mar 31, 2024 | 82.20 Mn |
| Dec 31, 2023 | 97.80 Mn |
| Sep 30, 2023 | 69.30 Mn |
| Jun 30, 2023 | 88.10 Mn |
| Mar 31, 2023 | 80.60 Mn |
| Sep 30, 2022 | 70.60 Mn |
| Jun 30, 2022 | 71.00 Mn |
| Mar 31, 2022 | 74.10 Mn |
| Sep 30, 2021 | 52.60 Mn |
| Jun 30, 2021 | 54.00 Mn |
| Mar 31, 2021 | 54.00 Mn |
API Access
Ati Operating 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=operating-expenses&ticker=ATI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ATI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();