Dnow (DNOW) Operating Expenses (2013 - 2026)
Dnow (DNOW) recorded Operating Expenses of $238 million in Q2 2026, up 112.5% from $112 million a year earlier but down 2.1% from the prior quarter.
Dnow (DNOW) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Dnow's Operating Expenses came in at $702 million as of Jun 30, 2026, up 43.0% year-over-year; for FY2025, it was $559 million, up 34.4% from FY2024.
- Across earlier years, Operating Expenses came in at $416 million in FY2024 (+5.3%) and $395 million in FY2023.
- Quarterly Operating Expenses has ranged from $109 million in Q1 2025 to $243 million in Q1 2026 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | 573.90 Mn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Dnow | 2.95 Bn | 2.29 Bn | 243.00 Mn | 238.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.00 Mn |
| Mar 31, 2026 | 243.00 Mn |
| Jun 30, 2025 | 112.00 Mn |
| Mar 31, 2025 | 109.00 Mn |
| Dec 31, 2019 | 134.00 Mn |
| Sep 30, 2019 | 136.00 Mn |
| Jun 30, 2019 | 136.00 Mn |
| Mar 31, 2019 | 135.00 Mn |
| Dec 31, 2018 | 135.00 Mn |
| Sep 30, 2018 | 142.00 Mn |
| Jun 30, 2018 | 139.00 Mn |
| Mar 31, 2018 | 141.00 Mn |
| Dec 31, 2017 | 128.00 Mn |
| Sep 30, 2017 | 141.00 Mn |
| Jun 30, 2017 | 138.00 Mn |
| Mar 31, 2017 | 135.00 Mn |
| Dec 31, 2016 | 135.00 Mn |
| Sep 30, 2016 | 140.00 Mn |
| Jun 30, 2016 | 140.00 Mn |
| Mar 31, 2016 | 152.00 Mn |
Dnow 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=DNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DNOW", "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=DNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();