Allient (ALNT) Operating Expenses (2010 - 2026)
Allient's Operating Expenses was $37.98 million in Q2 2026, up 9.5% from $34.68 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Allient (ALNT) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Allient's Operating Expenses was $143.11 million through Jun 30, 2026, up 7.4% year-over-year; for FY2025, it was $137.72 million, up 1.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $135.65 million in FY2024 (-4.0%), $141.37 million in FY2023 (+12.6%), $125.6 million in FY2022 (+32.2%) and $95.03 million in FY2021 (+11.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 37.1%); the worst was Q4 2024 (a decline of 14.5%).
- Per Business Quant data, ALNT's Operating Expenses in the three quarters before Q2 2026 was $36.05 million (Q1 2026), $35.07 million (Q4 2025) and $34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 995.40 Mn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Allient | 1.48 Bn | 1.32 Bn | 60.19 Mn | 37.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.89 Mn |
| Jun 30, 2026 | 37.98 Mn |
| Mar 31, 2026 | 36.05 Mn |
| Dec 31, 2025 | 35.07 Mn |
| Sep 30, 2025 | 34.00 Mn |
| Jun 30, 2025 | 34.68 Mn |
| Mar 31, 2025 | 33.97 Mn |
| Dec 31, 2024 | 31.93 Mn |
| Sep 30, 2024 | 32.65 Mn |
| Jun 30, 2024 | 35.80 Mn |
| Mar 31, 2024 | 35.28 Mn |
| Dec 31, 2023 | 37.33 Mn |
| Sep 30, 2023 | 35.63 Mn |
| Jun 30, 2023 | 33.96 Mn |
| Mar 31, 2023 | 34.45 Mn |
| Dec 31, 2022 | 32.55 Mn |
| Sep 30, 2022 | 31.60 Mn |
| Jun 30, 2022 | 32.26 Mn |
| Mar 31, 2022 | 29.19 Mn |
| Dec 31, 2021 | 23.74 Mn |
API Access
Allient 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=ALNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALNT", "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=ALNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();