Waste Connections (WCN) Depreciation and Depletion (2015 - 2026)
Waste Connections (WCN) reported Depreciation and Depletion of $278.28 million for Q2 2026, up 8.1% from $257.42 million a year earlier and up 4.0% from the prior quarter.
Waste Connections (WCN) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Waste Connections' Depreciation and Depletion came in at $1.08 billion, up 6.6% year-over-year; for FY2025, it came in at $1.03 billion, up 5.8% from FY2024.
- Depreciation and Depletion has increased for 15 consecutive years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $974 million in FY2024 (+15.2%), $845.64 million in FY2023 (+10.8%), $763.29 million in FY2022 (+13.3%) and $673.73 million in FY2021 (+8.5%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q2 2015.
- Year over year, Depreciation and Depletion has now increased in each of the last 23 quarters, with growth averaging 10.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation and Depletion ranged from 2.0% (Q4 2025) to 22.7% (Q4 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $267.49 million (Q1 2026), $266.84 million (Q4 2025) and $264 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | - |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | - |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 278.28 Mn |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | 309.50 Mn |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | - |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 3.40 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | - |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | 4,000.00 |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 348,798.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 278.28 Mn |
| Mar 31, 2026 | 267.49 Mn |
| Dec 31, 2025 | 266.84 Mn |
| Sep 30, 2025 | 264.00 Mn |
| Jun 30, 2025 | 257.42 Mn |
| Mar 31, 2025 | 242.31 Mn |
| Dec 31, 2024 | 261.61 Mn |
| Sep 30, 2024 | 248.47 Mn |
| Jun 30, 2024 | 241.23 Mn |
| Mar 31, 2024 | 222.69 Mn |
| Dec 31, 2023 | 213.29 Mn |
| Sep 30, 2023 | 214.97 Mn |
| Jun 30, 2023 | 213.32 Mn |
| Mar 31, 2023 | 204.06 Mn |
| Dec 31, 2022 | 201.11 Mn |
| Sep 30, 2022 | 193.29 Mn |
| Jun 30, 2022 | 188.94 Mn |
| Mar 31, 2022 | 179.95 Mn |
| Dec 31, 2021 | 175.14 Mn |
| Sep 30, 2021 | 171.97 Mn |
Waste Connections 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=WCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "WCN", "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=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();