Wabash National (WNC) Depreciation and Depletion (2011 - 2026)
Wabash National (WNC) reported Depreciation and Depletion of $10.94 million for Q2 2026, down 3.1% from $11.28 million a year earlier and down 11.5% from the prior quarter.
Wabash National (WNC) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wabash National's Depreciation and Depletion came in at $47.32 million, down 1.9% year-over-year; for FY2025, it was $47.55 million, up 5.6% from FY2024.
- Depreciation and Depletion has increased for four consecutive years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $45.01 million in FY2024 (+38.5%), $32.51 million in FY2023 (+2.4%), $31.76 million in FY2022 (+22.2%) and $25.98 million in FY2021 (unchanged).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation and Depletion since Q2 2024.
- Year over year, Depreciation and Depletion gained in six of the last eight quarters, with growth averaging 11.3%.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2024 (growth of 47.6%); the low point was Q1 2023 (a decline of 21.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.36 million (Q1 2026), $12.21 million (Q4 2025) and $11.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Wabash National | 572.36 Mn | 335.23 Mn | 15.33 Mn | 10.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.94 Mn |
| Mar 31, 2026 | 12.36 Mn |
| Dec 31, 2025 | 12.21 Mn |
| Sep 30, 2025 | 11.82 Mn |
| Jun 30, 2025 | 11.28 Mn |
| Mar 31, 2025 | 12.24 Mn |
| Dec 31, 2024 | 13.68 Mn |
| Sep 30, 2024 | 11.03 Mn |
| Jun 30, 2024 | 10.73 Mn |
| Mar 31, 2024 | 9.58 Mn |
| Dec 31, 2023 | 9.43 Mn |
| Sep 30, 2023 | 9.32 Mn |
| Jun 30, 2023 | 7.27 Mn |
| Mar 31, 2023 | 6.49 Mn |
| Dec 31, 2022 | 6.52 Mn |
| Sep 30, 2022 | 8.76 Mn |
| Jun 30, 2022 | 8.26 Mn |
| Mar 31, 2022 | 8.23 Mn |
| Dec 31, 2021 | 6.39 Mn |
| Sep 30, 2021 | 6.71 Mn |
Wabash National Depreciation and Depletion 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=depreciation-and-depletion&ticker=WNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "WNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();