Atkore (ATKR) Operating Expenses (2015 - 2026)
Atkore's Operating Expenses came in at $108.67 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 10.7% from $98.14 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Atkore (ATKR) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Atkore reported Operating Expenses of $424.11 million, up 9.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $396.61 million, down 0.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $397.54 million in FY2024 (+2.4%), $388.21 million in FY2023 (+4.9%), $370.04 million in FY2022 (+26.3%) and $293.02 million in FY2021 (+33.5%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q3 2015.
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2021 (growth of 51.1%), and the weakest in fiscal Q4 2023 (a decline of 9.4%).
- Business Quant data shows ATKR's Operating Expenses at $107.91 million (Q2 2026), $99.55 million (Q1 2026) and $107.98 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Atkore | 3.20 Bn | 1.46 Bn | 176.27 Mn | 108.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 108.67 Mn |
| Mar 27, 2026 | 107.91 Mn |
| Dec 26, 2025 | 99.55 Mn |
| Sep 30, 2025 | 107.98 Mn |
| Jun 27, 2025 | 98.14 Mn |
| Mar 28, 2025 | 99.04 Mn |
| Dec 27, 2024 | 91.45 Mn |
| Sep 30, 2024 | 100.40 Mn |
| Jun 28, 2024 | 97.99 Mn |
| Mar 29, 2024 | 98.54 Mn |
| Dec 29, 2023 | 100.62 Mn |
| Sep 30, 2023 | 97.01 Mn |
| Jun 30, 2023 | 103.02 Mn |
| Mar 31, 2023 | 98.20 Mn |
| Dec 30, 2022 | 89.98 Mn |
| Sep 30, 2022 | 107.02 Mn |
| Jun 24, 2022 | 95.95 Mn |
| Mar 25, 2022 | 88.92 Mn |
| Dec 24, 2021 | 78.15 Mn |
| Sep 30, 2021 | 82.77 Mn |
API Access
Atkore 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=ATKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ATKR", "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=ATKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();