Dnow (DNOW) Accumulated Expenses (2013 - 2026)
Dnow (DNOW) reported Accumulated Expenses of $262 million for Q2 2026, up 109.6% from $125 million a year earlier and up 3.1% from the prior quarter.
Powered by 
Analysis
Dnow (DNOW) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Dnow posted Accumulated Expenses of $300 million, up 130.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $130 million in FY2024 (+8.3%), $120 million in FY2023 (-4.8%), $126 million in FY2022 (+12.5%) and $112 million in FY2021 (+17.9%).
- Five-year quarterly Accumulated Expenses spans a low of $105 million in Q3 2021 and a high of $300 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 46.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 130.8%); the low point was Q3 2025 (a decline of 7.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $254 million (Q1 2026), $300 million (Q4 2025) and $118 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn |
| 10 | Dnow | 2.80 Bn | 2.15 Bn | 243.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.00 Mn |
| Mar 31, 2026 | 254.00 Mn |
| Dec 31, 2025 | 300.00 Mn |
| Sep 30, 2025 | 118.00 Mn |
| Jun 30, 2025 | 125.00 Mn |
| Mar 31, 2025 | 119.00 Mn |
| Dec 31, 2024 | 130.00 Mn |
| Sep 30, 2024 | 127.00 Mn |
| Jun 30, 2024 | 123.00 Mn |
| Mar 31, 2024 | 112.00 Mn |
| Dec 31, 2023 | 120.00 Mn |
| Sep 30, 2023 | 114.00 Mn |
| Jun 30, 2023 | 129.00 Mn |
| Mar 31, 2023 | 118.00 Mn |
| Dec 31, 2022 | 126.00 Mn |
| Sep 30, 2022 | 111.00 Mn |
| Jun 30, 2022 | 112.00 Mn |
| Mar 31, 2022 | 109.00 Mn |
| Dec 31, 2021 | 112.00 Mn |
| Sep 30, 2021 | 105.00 Mn |
API Access
Dnow Accumulated 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=accumulated-expenses&ticker=DNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();