Gentherm (THRM) Accounts Payables (2010 - 2026)
Gentherm (THRM) posted Accounts Payables of $270.38 million for Q2 2026, up 6.4% from $254.13 million a year earlier but down 2.4% from the prior quarter.
Gentherm (THRM) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Gentherm's Accounts Payables came in at $260.49 million, up 14.8% from FY2024.
- Annual Accounts Payables has increased for six consecutive years, with a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, Gentherm's Accounts Payables was $226.82 million in FY2024 (+5.1%), $215.83 million in FY2023 (+18.4%), $182.23 million in FY2022 (+48.5%) and $122.73 million in FY2021 (+5.8%).
- Quarterly Accounts Payables has run from a low of $122.73 million in Q4 2021 to a high of $277.03 million in Q1 2026 over five years.
- On a year-over-year basis, Accounts Payables has increased in each of the last 23 quarters, with growth averaging 10.6% over the last eight quarters.
- The year-over-year growth in Accounts Payables has ranged between 2.6% (Q3 2023) and 68.0% (Q3 2022) over the last five years.
- According to Business Quant data, Accounts Payables for the three prior quarters was $277.03 million (Q1 2026), $260.49 million (Q4 2025) and $263.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.31 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.01 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 13.67 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 2.44 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.47 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.61 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.11 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 636.00 Mn |
| 10 | Gentherm | 1.02 Bn | 316.83 Mn | 96.43 Mn | 270.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270.38 Mn |
| Mar 31, 2026 | 277.03 Mn |
| Dec 31, 2025 | 260.49 Mn |
| Sep 30, 2025 | 263.60 Mn |
| Jun 30, 2025 | 254.13 Mn |
| Mar 31, 2025 | 243.22 Mn |
| Dec 31, 2024 | 226.82 Mn |
| Sep 30, 2024 | 254.56 Mn |
| Jun 30, 2024 | 222.04 Mn |
| Mar 31, 2024 | 226.19 Mn |
| Dec 31, 2023 | 215.83 Mn |
| Sep 30, 2023 | 213.85 Mn |
| Jun 30, 2023 | 207.66 Mn |
| Mar 31, 2023 | 207.89 Mn |
| Dec 31, 2022 | 182.23 Mn |
| Sep 30, 2022 | 208.34 Mn |
| Jun 30, 2022 | 147.14 Mn |
| Mar 31, 2022 | 156.24 Mn |
| Dec 31, 2021 | 122.73 Mn |
| Sep 30, 2021 | 124.00 Mn |
Gentherm Accounts Payables 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=accounts-payables&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "THRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accounts-payables&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();