Match (MTCH) Depreciation and Depletion (2009 - 2026)
Match (MTCH) posted Depreciation and Depletion of $14.6 million for Q3 2026, down 1.7% from $14.85 million a year earlier and down 4.8% from the prior quarter.
Match (MTCH) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Match was $56.53 million, down 24.8% year-over-year; for FY2025, it came in at $67.11 million, down 23.3% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In prior years, Match's Depreciation and Depletion was $87.5 million in FY2024 (+41.6%), $61.81 million in FY2023 (+41.8%), $43.59 million in FY2022 (+5.3%) and $41.4 million in FY2021 (+0.3%).
- Quarterly Depreciation and Depletion has run from a low of $10.5 million in Q1 2022 to a high of $25.3 million in Q3 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last six quarters, with an average decline of 16.8% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2024, with growth of 94.5%; the weakest was Q3 2025, with a decline of 41.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $15.33 million (Q2 2026), $14.13 million (Q1 2026) and $12.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 8.37 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 6.81 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | - |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | - |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 31.06 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | Match | 8.95 Bn | 5.58 Bn | 684.71 Mn | 14.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.60 Mn |
| Jun 30, 2026 | 15.33 Mn |
| Mar 31, 2026 | 14.13 Mn |
| Dec 31, 2025 | 12.48 Mn |
| Sep 30, 2025 | 14.85 Mn |
| Jun 30, 2025 | 18.06 Mn |
| Mar 31, 2025 | 21.73 Mn |
| Dec 31, 2024 | 20.58 Mn |
| Sep 30, 2024 | 25.30 Mn |
| Jun 30, 2024 | 21.09 Mn |
| Mar 31, 2024 | 20.52 Mn |
| Dec 31, 2023 | 19.38 Mn |
| Sep 30, 2023 | 17.31 Mn |
| Jun 30, 2023 | 14.57 Mn |
| Mar 31, 2023 | 10.55 Mn |
| Dec 31, 2022 | 10.93 Mn |
| Sep 30, 2022 | 10.68 Mn |
| Jun 30, 2022 | 11.49 Mn |
| Mar 31, 2022 | 10.50 Mn |
| Dec 31, 2021 | 10.78 Mn |
Match 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=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "MTCH", "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=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();