Avantor (AVTR) Operating Expenses (2018 - 2026)
Avantor's Operating Expenses was $415.2 million in Q2 2026, down 2.4% from $425.3 million a year earlier but up 3.5% from the prior quarter.
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Analysis
Avantor (AVTR) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Avantor's Operating Expenses was $1.6 billion through Jun 30, 2026, down 1.5% year-over-year; for FY2025, it was $1.6 billion, down 2.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.64 billion in FY2024 (+8.9%), $1.51 billion in FY2023 (+2.3%), $1.47 billion in FY2022 (-3.8%) and $1.53 billion in FY2021 (+11.4%).
- Quarterly Operating Expenses has moved between $352.1 million (Q2 2022) and $439.8 million (Q3 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 0.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2024 (growth of 19.4%); the worst was Q4 2022 (a decline of 16.3%).
- Per Business Quant data, AVTR's Operating Expenses in the three quarters before Q2 2026 was $401.2 million (Q1 2026), $392.4 million (Q4 2025) and $390.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Avantor | 11.26 Bn | 10.06 Bn | 537.00 Mn | 415.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 415.20 Mn |
| Mar 31, 2026 | 401.20 Mn |
| Dec 31, 2025 | 392.40 Mn |
| Sep 30, 2025 | 390.30 Mn |
| Jun 30, 2025 | 425.30 Mn |
| Mar 31, 2025 | 387.50 Mn |
| Dec 31, 2024 | 371.40 Mn |
| Sep 30, 2024 | 439.80 Mn |
| Jun 30, 2024 | 405.70 Mn |
| Mar 31, 2024 | 424.20 Mn |
| Dec 31, 2023 | 387.10 Mn |
| Sep 30, 2023 | 368.40 Mn |
| Jun 30, 2023 | 357.50 Mn |
| Mar 31, 2023 | 393.60 Mn |
| Dec 31, 2022 | 362.70 Mn |
| Sep 30, 2022 | 374.90 Mn |
| Jun 30, 2022 | 352.10 Mn |
| Mar 31, 2022 | 382.90 Mn |
| Dec 31, 2021 | 433.50 Mn |
| Sep 30, 2021 | 378.70 Mn |
API Access
Avantor 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=AVTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AVTR", "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=AVTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();