Applied Industrial Technologies (AIT) Pension (2010 - 2019)
Applied Industrial Technologies (AIT) reported Pension of $8.37 million for fiscal Q3 2019 (quarter ended Mar 31, 2019), down 36.7% from $13.24 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Pension (2010 - 2019) Analysis & Trends
At the end of FY2018 (ended Jun 30, 2018), Applied Industrial Technologies posted Pension of $11.99 million, down 28.3% from FY2017.
- Pension has a five-year compound annual growth rate of -17.3% (FY2013 to FY2018).
- By fiscal year, Pension came in at $16.72 million in FY2017 (-21.6%), $21.32 million in FY2016 (+8.6%), $19.63 million in FY2015 (-16.9%) and $23.61 million in FY2014 (-23.6%).
- The fiscal Q3 2019 figure ranks as the lowest quarterly Pension in data going back to fiscal Q4 2010.
- Year over year, Pension has now declined in each of the last eight quarters, with an average decline of 31.9% over the last eight quarters.
- The high point for year-over-year Pension in five years was fiscal Q4 2016 (growth of 8.6%); the low point was fiscal Q1 2019 (a decline of 41.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2019 came in at $9.2 million (Q2 2019), $9.21 million (Q1 2019) and $11.99 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 8.37 Mn |
| Dec 31, 2018 | 9.20 Mn |
| Sep 30, 2018 | 9.21 Mn |
| Jun 30, 2018 | 11.99 Mn |
| Mar 31, 2018 | 13.24 Mn |
| Dec 31, 2017 | 14.02 Mn |
| Sep 30, 2017 | 15.60 Mn |
| Jun 30, 2017 | 16.72 Mn |
| Mar 31, 2017 | 20.23 Mn |
| Dec 31, 2016 | 20.60 Mn |
| Sep 30, 2016 | 21.29 Mn |
| Jun 30, 2016 | 21.32 Mn |
| Mar 31, 2016 | 19.28 Mn |
| Dec 31, 2015 | 19.62 Mn |
| Sep 30, 2015 | 19.62 Mn |
| Jun 30, 2015 | 19.63 Mn |
| Mar 31, 2015 | 18.81 Mn |
| Dec 31, 2014 | 19.06 Mn |
| Sep 30, 2014 | 19.07 Mn |
| Jun 30, 2014 | 23.61 Mn |
API Access
Applied Industrial Technologies 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=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "AIT", "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=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();