Phinia (PHIN) Operating Expenses (2022 - 2026)
Phinia's Operating Expenses was $136 million in Q2 2026, up 19.3% from $114 million a year earlier and up 15.3% from the prior quarter.
Phinia (PHIN) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Phinia's Operating Expenses was $490 million through Jun 30, 2026, up 6.3% year-over-year; for FY2025, it came in at $462 million, up 1.3% from FY2024.
- Operating Expenses has now increased for three consecutive years, though with a four-year compound annual growth rate of -2.7% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $456 million in FY2024 (+7.3%), $425 million in FY2023 (+1.7%), $418 million in FY2022 (-18.8%) and $515 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2022.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 7.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 19.3%); the worst was Q3 2025 (a decline of 4.4%).
- Per Business Quant data, PHIN's Operating Expenses in the three quarters before Q2 2026 was $118 million (Q1 2026), $127 million (Q4 2025) and $109 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Phinia | 2.18 Bn | 769.57 Mn | 216.00 Mn | 136.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.00 Mn |
| Mar 31, 2026 | 118.00 Mn |
| Dec 31, 2025 | 127.00 Mn |
| Sep 30, 2025 | 109.00 Mn |
| Jun 30, 2025 | 114.00 Mn |
| Mar 31, 2025 | 112.00 Mn |
| Dec 31, 2024 | 121.00 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Jun 30, 2024 | 112.00 Mn |
| Mar 31, 2024 | 104.00 Mn |
| Dec 31, 2023 | 107.00 Mn |
| Sep 30, 2023 | 104.00 Mn |
| Jun 30, 2023 | 103.00 Mn |
| Mar 31, 2023 | 99.00 Mn |
| Dec 31, 2022 | 106.00 Mn |
| Sep 30, 2022 | 100.00 Mn |
| Jun 30, 2022 | 101.00 Mn |
Phinia 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=PHIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PHIN", "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=PHIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();