Toro (TTC) Change in Accrued Expenses (2009 - 2023)
Toro (TTC) reported Change in Accured Expenses of -$81.98 million for fiscal Q1 2023 (quarter ended Feb 3, 2023), compared with -$72.46 million a year earlier.
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Analysis
Toro (TTC) Change in Accrued Expenses (2009 - 2023) Analysis & Trends
Over the twelve months ended Feb 3, 2023, Toro's Change in Accured Expenses came in at $79.97 million, down 13.4% year-over-year; for FY2022 (ended Oct 31, 2022), it was $89.48 million, down 54.2% from FY2021.
- Change in Accured Expenses has a five-year compound annual growth rate of 8.4% (FY2017 to FY2022).
- By fiscal year, Change in Accured Expenses came in at $195.4 million in FY2021 (+394.2%), $39.54 million in FY2020 (+29.8%), $30.46 million in FY2019 (-35.8%) and $47.46 million in FY2018 (-20.7%).
- The fiscal Q1 2023 figure ranks as the lowest quarterly Change in Accured Expenses since fiscal Q3 2019.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2020 (growth of 445.5%); the low point was fiscal Q2 2020 (a decline of 98.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2023 came in at $106.41 million (Q4 2022), -$73.7 million (Q3 2022) and $129.24 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 762.00 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | - |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | - |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 191.00 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 35.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 112.80 Mn |
| 10 | Toro | 9.98 Bn | 9.09 Bn | 418.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 3, 2023 | -81.98 Mn |
| Oct 31, 2022 | 106.41 Mn |
| Jul 29, 2022 | -73.70 Mn |
| Apr 29, 2022 | 129.24 Mn |
| Jan 28, 2022 | -72.46 Mn |
| Oct 31, 2021 | 94.84 Mn |
| Jul 30, 2021 | -21.69 Mn |
| Apr 30, 2021 | 91.65 Mn |
| Jan 29, 2021 | 30.61 Mn |
| Oct 31, 2020 | 82.36 Mn |
| Jul 31, 2020 | -66.42 Mn |
| May 1, 2020 | 1.87 Mn |
| Jan 31, 2020 | 21.73 Mn |
| Oct 31, 2019 | 15.10 Mn |
| Aug 2, 2019 | -104.73 Mn |
| May 3, 2019 | 93.45 Mn |
| Feb 1, 2019 | 26.64 Mn |
| Oct 31, 2018 | 14.77 Mn |
| Aug 3, 2018 | -118.32 Mn |
| May 4, 2018 | 78.48 Mn |
API Access
Toro Change in Accrued 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=change-in-accured-expenses&ticker=TTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();