Advanced Drainage Systems (WMS) Operating Expenses (2013 - 2021)
Advanced Drainage Systems (WMS) posted Operating Expenses of $76.22 million for fiscal Q1 2022 (quarter ended Jun 30, 2021), up 21.2% from $62.88 million a year earlier but down 53.2% from the prior quarter.
Advanced Drainage Systems (WMS) Operating Expenses (2013 - 2021) Analysis & Trends
For the trailing twelve months through Jun 30, 2021, Operating Expenses at Advanced Drainage Systems was $310.96 million, up 2.7% year-over-year; for FY2021 (ended Mar 31, 2021), it came in at $269.45 million, down 0.7% from FY2020.
- Annual Operating Expenses shows a five-year compound annual growth rate of 23.8% (FY2016 to FY2021).
- In prior fiscal years, Advanced Drainage Systems' Operating Expenses was $271.34 million in FY2020 (+44.6%), $187.65 million in FY2019 (+70.8%), $109.84 million in FY2018 (-1.0%) and $110.95 million in FY2017 (+19.9%).
- Quarterly Operating Expenses has run from a low of $21.18 million in fiscal Q2 2017 to a high of $162.75 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 37.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2019, with growth of 341.3%; the weakest was fiscal Q1 2019, with a decline of 27.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $162.75 million (Q4 2021), $36.37 million (Q3 2021) and $35.61 million (Q2 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 262.80 Mn |
| 10 | Advanced Drainage Systems | 9.96 Bn | 7.75 Bn | 408.05 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 76.22 Mn |
| Mar 31, 2021 | 162.75 Mn |
| Dec 31, 2020 | 36.37 Mn |
| Sep 30, 2020 | 35.61 Mn |
| Jun 30, 2020 | 62.88 Mn |
| Mar 31, 2020 | 154.85 Mn |
| Dec 31, 2019 | 37.02 Mn |
| Sep 30, 2019 | 48.03 Mn |
| Jun 30, 2019 | 31.43 Mn |
| Mar 31, 2019 | 121.11 Mn |
| Dec 31, 2018 | 22.55 Mn |
| Sep 30, 2018 | 22.61 Mn |
| Jun 30, 2018 | 21.38 Mn |
| Mar 31, 2018 | 27.44 Mn |
| Dec 31, 2017 | 24.87 Mn |
| Sep 30, 2017 | 28.17 Mn |
| Jun 30, 2017 | 29.36 Mn |
| Mar 31, 2017 | 32.52 Mn |
| Dec 31, 2016 | 22.72 Mn |
| Sep 30, 2016 | 21.18 Mn |
Advanced Drainage Systems Operating Expenses 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=operating-expenses&ticker=WMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WMS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();