Allison Transmission Holdings (ALSN) Operating Expenses (2011 - 2026)
Allison Transmission Holdings (ALSN) recorded Operating Expenses of $224 million in Q2 2026, up 52.4% from $147 million a year earlier and up 6.2% from the prior quarter.
Allison Transmission Holdings (ALSN) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Allison Transmission Holdings' Operating Expenses came in at $714 million as of Jun 30, 2026, up 30.1% year-over-year; for FY2025, it came in at $554 million, up 3.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $536 million in FY2024 (-2.7%), $551 million in FY2023 (+7.4%), $513 million in FY2022 (+7.8%) and $476 million in FY2021 (+2.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2011.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 15.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 63.6% in Q1 2026, against a decline of 8.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $211 million (Q1 2026), $154 million (Q4 2025) and $125 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 490.50 Mn |
| 10 | Allison Transmission Holdings | 9.04 Bn | 5.94 Bn | 515.00 Mn | 224.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 224.00 Mn |
| Mar 31, 2026 | 211.00 Mn |
| Dec 31, 2025 | 154.00 Mn |
| Sep 30, 2025 | 125.00 Mn |
| Jun 30, 2025 | 147.00 Mn |
| Mar 31, 2025 | 129.00 Mn |
| Dec 31, 2024 | 137.00 Mn |
| Sep 30, 2024 | 136.00 Mn |
| Jun 30, 2024 | 131.00 Mn |
| Mar 31, 2024 | 132.00 Mn |
| Dec 31, 2023 | 146.00 Mn |
| Sep 30, 2023 | 135.00 Mn |
| Jun 30, 2023 | 139.00 Mn |
| Mar 31, 2023 | 131.00 Mn |
| Dec 31, 2022 | 146.00 Mn |
| Sep 30, 2022 | 125.00 Mn |
| Jun 30, 2022 | 124.00 Mn |
| Mar 31, 2022 | 118.00 Mn |
| Dec 31, 2021 | 129.00 Mn |
| Sep 30, 2021 | 115.00 Mn |
Allison Transmission Holdings 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=ALSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALSN", "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=ALSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();