Resideo Technologies (REZI) Operating Expenses (2017 - 2026)
Resideo Technologies (REZI) recorded Operating Expenses of $464 million in Q2 2026, up 18.4% from $392 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Resideo Technologies (REZI) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Resideo Technologies' Operating Expenses came in at $1.74 billion as of Jul 4, 2026, up 11.9% year-over-year; for FY2025, it came in at $1.59 billion, up 15.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.38 billion in FY2024 (+20.2%), $1.15 billion in FY2023 (-0.5%), $1.16 billion in FY2022 (+12.7%) and $1.03 billion in FY2021 (+2.2%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2017.
- On a year-over-year basis, Operating Expenses has increased for nine consecutive quarters, with growth averaging 21.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 39.9% in Q4 2024, against a decline of 17.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $449 million (Q1 2026), $420 million (Q4 2025) and $402 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Resideo Technologies | 2.75 Bn | 761.24 Mn | 595.00 Mn | 464.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 464.00 Mn |
| Apr 4, 2026 | 449.00 Mn |
| Dec 31, 2025 | 420.00 Mn |
| Sep 27, 2025 | 402.00 Mn |
| Jun 28, 2025 | 392.00 Mn |
| Mar 29, 2025 | 375.00 Mn |
| Dec 31, 2024 | 386.00 Mn |
| Sep 28, 2024 | 398.00 Mn |
| Jun 29, 2024 | 325.00 Mn |
| Mar 30, 2024 | 272.00 Mn |
| Dec 31, 2023 | 276.00 Mn |
| Sep 30, 2023 | 308.00 Mn |
| Jul 1, 2023 | 283.00 Mn |
| Apr 1, 2023 | 280.00 Mn |
| Dec 31, 2022 | 333.00 Mn |
| Oct 1, 2022 | 275.00 Mn |
| Jul 2, 2022 | 272.00 Mn |
| Apr 2, 2022 | 260.00 Mn |
| Dec 31, 2021 | 254.00 Mn |
| Oct 2, 2021 | 247.00 Mn |
API Access
Resideo Technologies 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=REZI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "REZI", "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=REZI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();