Willdan (WLDN) EV to EBITDA (2011 - 2026)
Willdan's EV to EBITDA was 15.31 in Q2 2027, down 16.5% from 18.33 a year earlier and down 16.4% from the prior quarter.
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Analysis
Willdan (WLDN) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Willdan's EV to EBITDA was 13.57 through Jul 3, 2026, down 11.7% year-over-year; for FY2026, it came in at 24.01.
- In earlier years, EV to EBITDA was 10.20 in FY2024 (+45.0%), 7.03 in FY2023 (-67.9%) and 21.92 in FY2022 (-57.8%).
- The Q2 2027 figure marks the lowest quarterly EV to EBITDA since Q1 2026.
- Per Business Quant data, WLDN's EV to EBITDA in the three quarters before Q2 2027 was 18.32 (Q1 2027), 24.01 (Q4 2026) and 21.09 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.46 Bn | 106.74 Bn | 6.13 Bn |
| 2 | Cintas | 87.46 Bn | 86.54 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.78 Bn | 32.97 Bn | 1.07 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn |
| 5 | Rollins | 16.11 Bn | 15.66 Bn | 569.95 Mn |
| 6 | UL Solutions | 15.11 Bn | 13.87 Bn | 417.00 Mn |
| 7 | Gartner | 14.67 Bn | 8.36 Bn | 1.19 Bn |
| 8 | Aramark | 14.63 Bn | 12.57 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 10.65 Bn | 4.17 Bn | - |
| 10 | Willdan | 1.10 Bn | 942.58 Mn | 87.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 15.31 |
| Apr 3, 2026 | 18.32 |
| Jan 2, 2026 | 24.01 |
| Oct 3, 2025 | 21.09 |
| Jul 4, 2025 | 18.33 |
| Apr 4, 2025 | 10.75 |
| Dec 27, 2024 | 10.20 |
| Sep 27, 2024 | 11.13 |
| Jun 28, 2024 | 8.36 |
| Mar 29, 2024 | 9.01 |
| Dec 29, 2023 | 7.03 |
| Sep 29, 2023 | 8.39 |
| Jun 30, 2023 | 8.97 |
| Mar 31, 2023 | 9.72 |
| Dec 30, 2022 | 21.92 |
| Sep 30, 2022 | 26.22 |
| Jul 1, 2022 | 36.81 |
| Apr 1, 2022 | 56.10 |
| Dec 31, 2021 | 51.98 |
| Oct 1, 2021 | 49.32 |
API Access
Willdan EV to EBITDA 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=ev-to-ebitda&ticker=WLDN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "WLDN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=WLDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();