Matthews International (MATW) Pension (2009 - 2022)
Matthews International (MATW) posted Pension of $13.8 million for fiscal Q1 2023 (quarter ended Dec 31, 2022), down 59.4% from $33.99 million a year earlier but up 10.9% from the prior quarter.
Matthews International (MATW) Pension (2009 - 2022) Analysis & Trends
At the end of FY2022 (ended Sep 30, 2022), Matthews International's Pension came in at $12.44 million, down 85.3% from FY2021.
- Annual Pension shows a five-year compound annual growth rate of -34.5% (FY2017 to FY2022).
- In prior fiscal years, Matthews International's Pension was $84.8 million in FY2021 (-43.4%), $149.85 million in FY2020 (+12.0%), $133.76 million in FY2019 (+63.1%) and $82.04 million in FY2018 (-20.6%).
- Quarterly Pension has run from a low of $12.44 million in fiscal Q4 2022 to a high of $151.46 million in fiscal Q1 2021 over five years.
- On a year-over-year basis, Pension has declined in each of the last seven quarters, with an average decline of 51.5% over the last eight quarters.
- The strongest year-over-year quarter for Pension in the past five years was fiscal Q4 2019, with growth of 63.1%; the weakest was fiscal Q4 2022, with a decline of 85.3%.
- According to Business Quant data, Pension for the three prior fiscal quarters was $12.44 million (Q4 2022), $32.72 million (Q3 2022) and $33.54 million (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.49 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.43 Bn | -6.34 Bn | 812.22 Mn |
| 3 | Laureate Education | 5.29 Bn | 4.58 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.82 Bn | -55.90 Mn | 392.03 Mn |
| 5 | Covista | 4.07 Bn | 3.19 Bn | 284.63 Mn |
| 6 | Valvoline | 3.78 Bn | 3.49 Bn | 214.90 Mn |
| 7 | Bright Horizons Family Solutions | 3.14 Bn | 2.59 Bn | 188.96 Mn |
| 8 | Stride | 3.14 Bn | 32.69 Mn | 217.28 Mn |
| 9 | Onespaworld Holdings | 2.35 Bn | 2.25 Bn | 44.57 Mn |
| 10 | Matthews International | 606.47 Mn | 468.99 Mn | 88.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 13.80 Mn |
| Sep 30, 2022 | 12.44 Mn |
| Jun 30, 2022 | 32.72 Mn |
| Mar 31, 2022 | 33.54 Mn |
| Dec 31, 2021 | 33.99 Mn |
| Sep 30, 2021 | 84.80 Mn |
| Jun 30, 2021 | 135.11 Mn |
| Mar 31, 2021 | 151.00 Mn |
| Dec 31, 2020 | 151.46 Mn |
| Sep 30, 2020 | 149.85 Mn |
| Jun 30, 2020 | 139.05 Mn |
| Mar 31, 2020 | 137.28 Mn |
| Dec 31, 2019 | 135.79 Mn |
| Sep 30, 2019 | 133.76 Mn |
| Jun 30, 2019 | 86.02 Mn |
| Mar 31, 2019 | 84.56 Mn |
| Dec 31, 2018 | 83.33 Mn |
| Sep 30, 2018 | 82.04 Mn |
| Jun 30, 2018 | 97.03 Mn |
| Mar 31, 2018 | 106.35 Mn |
Matthews International Pension 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=pension&ticker=MATW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "MATW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=MATW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();