Geospace Technologies (GEOS) Change in Accured Expenses (2010 - 2019)
Geospace Technologies (GEOS) recorded Change in Accured Expenses of -$283,000 in fiscal Q1 2020 (quarter ended Dec 31, 2019), compared with $2.01 million a year earlier.
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Analysis
Geospace Technologies (GEOS) Change in Accured Expenses (2010 - 2019) Analysis & Trends
On a TTM basis, Geospace Technologies' Change in Accured Expenses came in at -$1.63 million as of Dec 31, 2019; for FY2019 (ended Sep 30, 2019), it came in at $660,000, down 34.7% from FY2018.
- Across earlier fiscal years, Change in Accured Expenses came in at $1.01 million in FY2018, -$1.27 million in FY2017, -$2.15 million in FY2016 and -$6 million in FY2015.
- Quarterly Change in Accured Expenses has ranged from -$4.74 million in fiscal Q2 2015 to $3.38 million in fiscal Q3 2015 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 178.5%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 652.1% in fiscal Q1 2019, against a decline of 91.2% in fiscal Q3 2017 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.59 million (Q4 2019), $291,000 (Q3 2019) and -$3.23 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 117.60 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 191.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 57.00 Mn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -283,000.00 |
| Sep 30, 2019 | 1.59 Mn |
| Jun 30, 2019 | 291,000.00 |
| Mar 31, 2019 | -3.23 Mn |
| Dec 31, 2018 | 2.01 Mn |
| Sep 30, 2018 | 506,000.00 |
| Jun 30, 2018 | 416,000.00 |
| Mar 31, 2018 | -178,000.00 |
| Dec 31, 2017 | 267,000.00 |
| Sep 30, 2017 | 764,000.00 |
| Jun 30, 2017 | 218,000.00 |
| Mar 31, 2017 | -1.99 Mn |
| Dec 31, 2016 | -257,000.00 |
| Sep 30, 2016 | -87,000.00 |
| Jun 30, 2016 | 2.47 Mn |
| Mar 31, 2016 | -3.63 Mn |
| Dec 31, 2015 | -901,000.00 |
| Sep 30, 2015 | 2.12 Mn |
| Jun 30, 2015 | 3.38 Mn |
| Mar 31, 2015 | -4.74 Mn |
API Access
Geospace Technologies Change in Accured 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=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GEOS", "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=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();