Bowman Consulting (BWMN) Prepaid Assets (2020 - 2026)
Bowman Consulting's Prepaid Assets was $17.41 million in the quarter ended Jun 30, 2026, up 22.2% from $14.24 million a year earlier but down 5.9% from the prior quarter.
Bowman Consulting (BWMN) Prepaid Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at Bowman Consulting came in at $17.73 million, down 9.4% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 50.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $19.56 million in the year ended Dec 31, 2024 (+65.7%), $11.81 million in the year ended Dec 31, 2023 (+67.0%), $7.07 million in the year ended Dec 31, 2022 (+45.7%) and $4.85 million in the year ended Dec 31, 2021 (+113.6%).
- Quarterly Prepaid Assets has moved between $3.86 million (the quarter ended Sep 30, 2021) and $19.59 million (the quarter ended Sep 30, 2025) over five years.
- Compared with a year earlier, Prepaid Assets was higher in five of the last eight quarters, with growth averaging 22.9%.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Jun 30, 2022 (growth of 194.2%); the worst was the quarter ended Sep 30, 2024 (a decline of 31.8%).
- Per Business Quant data, BWMN's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $18.49 million (quarter ended Mar 31, 2026), $17.73 million (quarter ended Dec 31, 2025) and $19.59 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - |
| 10 | Bowman Consulting | 703.11 Mn | 653.29 Mn | 77.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.41 Mn |
| Mar 31, 2026 | 18.49 Mn |
| Dec 31, 2025 | 17.73 Mn |
| Sep 30, 2025 | 19.59 Mn |
| Jun 30, 2025 | 14.24 Mn |
| Mar 31, 2025 | 19.45 Mn |
| Dec 31, 2024 | 19.56 Mn |
| Sep 30, 2024 | 10.87 Mn |
| Jun 30, 2024 | 9.54 Mn |
| Mar 31, 2024 | 17.37 Mn |
| Dec 31, 2023 | 11.81 Mn |
| Sep 30, 2023 | 15.93 Mn |
| Jun 30, 2023 | 11.72 Mn |
| Mar 31, 2023 | 7.70 Mn |
| Dec 31, 2022 | 7.07 Mn |
| Sep 30, 2022 | 9.83 Mn |
| Jun 30, 2022 | 10.02 Mn |
| Mar 31, 2022 | 5.44 Mn |
| Dec 31, 2021 | 4.85 Mn |
| Sep 30, 2021 | 3.86 Mn |
Bowman Consulting Prepaid Assets 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=prepaid-assets&ticker=BWMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();