Bowman Consulting (BWMN) Asset Utilization Ratio (2021 - 2026)
Bowman Consulting's (BWMN) Asset Utilization Ratio stood at 0.87 in the quarter ended Jun 30, 2026, up 0.7% from 0.87 a year earlier and up 1.3% from the prior quarter.
Bowman Consulting (BWMN) Asset Utilization Ratio (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Bowman Consulting's Asset Utilization Ratio came in at 0.90, down 3.8% from the prior year.
- Annual Asset Utilization Ratio has declined for four straight years.
- Across earlier years, Asset Utilization Ratio came in at 0.94 in the year ended Dec 31, 2024 (-10.7%), 1.05 in the year ended Dec 31, 2023 (-20.9%), 1.33 in the year ended Dec 31, 2022 (-10.6%) and 1.49 in the year ended Dec 31, 2021.
- Quarterly Asset Utilization Ratio has ranged from 0.85 in the quarter ended Sep 30, 2024 to 1.17 in the quarter ended Sep 30, 2022 over the past five years.
- On a year-over-year basis, Asset Utilization Ratio has increased for four consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- Peak year-over-year performance for Asset Utilization Ratio in the last five years was growth of 6.9% in the quarter ended Sep 30, 2025, against a decline of 38.3% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.86 (quarter ended Mar 31, 2026), 0.90 (quarter ended Dec 31, 2025) and 0.90 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.20 Bn | 106.49 Bn | 6.13 Bn | 1.08 |
| 2 | Cintas | 85.42 Bn | 84.50 Bn | 1.55 Bn | 1.09 |
| 3 | Iron Mountain | 33.37 Bn | 32.56 Bn | 1.07 Bn | 0.35 |
| 4 | APi | 17.22 Bn | 14.26 Bn | 703.00 Mn | 0.89 |
| 5 | Rollins | 15.88 Bn | 15.43 Bn | 569.95 Mn | 1.20 |
| 6 | UL Solutions | 14.71 Bn | 13.47 Bn | 417.00 Mn | 1.04 |
| 7 | Aramark | 14.61 Bn | 12.55 Bn | 430.34 Mn | 1.43 |
| 8 | Gartner | 14.28 Bn | 7.97 Bn | 1.19 Bn | 0.87 |
| 9 | Rentokil Initial | 10.72 Bn | 4.24 Bn | - | - |
| 10 | Bowman Consulting | 703.27 Mn | 653.45 Mn | 77.74 Mn | 0.87 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.87 |
| Mar 31, 2026 | 0.86 |
| Dec 31, 2025 | 0.90 |
| Sep 30, 2025 | 0.90 |
| Jun 30, 2025 | 0.87 |
| Mar 31, 2025 | 0.86 |
| Dec 31, 2024 | 0.85 |
| Sep 30, 2024 | 0.85 |
| Jun 30, 2024 | 0.88 |
| Mar 31, 2024 | 0.89 |
| Dec 31, 2023 | 0.92 |
| Sep 30, 2023 | 0.95 |
| Jun 30, 2023 | 1.01 |
| Mar 31, 2023 | 1.09 |
| Dec 31, 2022 | 1.14 |
| Sep 30, 2022 | 1.17 |
| Jun 30, 2022 | 1.13 |
| Mar 31, 2022 | 1.14 |
| Dec 31, 2021 | 1.14 |
| Sep 30, 2021 | 1.14 |
Bowman Consulting Asset Utilization Ratio 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=asset-utilization-ratio&ticker=BWMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "BWMN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-utilization-ratio&ticker=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();